Prognostics and health management system for hydropower plant based on fog computing and docker container

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Xiao, Jian^1 ; Zhang, Mingqiang^2 ; Tian, Haiping^1 ; Huang, Bo^1 ; Fu, Wenlong^3

Hunan Electric Research Institute of State Grid Corporation, Changsha Hunan, China^1

Hunan Engineering Company of State Grid Corporation, Hengyang Hunan, China^2

College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China^3

关键词: Cloud architectures;    Different equipment;    Docker containers;    Network congestions;    Prognostics and health managements;    Real applications;    Realtime processing;    Seamless integration;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/4/042029/pdf
DOI  :  10.1088/1755-1315/121/4/042029

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, a novel prognostics and health management system architecture for hydropower plant equipment was proposed based on fog computing and Docker container. We employed the fog node to improve the real-time processing ability of improving the cloud architecture-based prognostics and health management system and overcome the problems of long delay time, network congestion and so on. Then Storm-based stream processing of fog node was present and could calculate the health index in the edge of network. Moreover, the distributed micros-service and Docker container architecture of hydropower plants equipment prognostics and health management was also proposed. Using the micro service architecture proposed in this paper, the hydropower unit can achieve the goal of the business intercommunication and seamless integration of different equipment and different manufacturers. Finally a real application case is given in this paper.