首页    期刊浏览 2024年07月09日 星期二
登录注册

文章基本信息

  • 标题:Prognostics and health management system for hydropower plant based on fog computing and docker container
  • 本地全文:下载
  • 作者:Jian Xiao ; Mingqiang Zhang ; Haiping Tian
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:121
  • 期号:4
  • 页码:042029
  • DOI:10.1088/1755-1315/121/4/042029
  • 语种:English
  • 出版社:IOP Publishing
  • 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.
国家哲学社会科学文献中心版权所有