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MISE-PIPE: Magnetic induction-based wireless sensor networks for underground pipeline monitoring

机译:MISE-PIPE:用于地下管道监控的基于磁感应的无线传感器网络

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摘要

Underground pipelines constitute one of the most important ways to transport large amounts of fluid (e.g. oil and water) through long distances. However, existing leakage detection techniques do not work well in monitoring the underground pipelines due to the harsh underground environmental conditions. In this paper, a new solution, the magnetic induction (MI)-based wireless sensor network for underground pipeline monitoring (MISE-PIPE), is introduced to provide low-cost and real-time leakage detection and localization for underground pipelines. MISE-PIPE detects and localizes leakage by jointly utilizing the measurements of different types of sensors that are located both inside and around the underground pipelines. By adopting an Ml waveguide technique, the measurements of different types of the sensors throughout the pipeline network can be reported to the administration center in real-time. The system architecture and operational framework of MISE-PIPE is first developed. Based on the operational framework, research challenges and open research issues are then discussed.
机译:地下管道是长距离输送大量流体(例如油和水)的最重要方法之一。但是,由于恶劣的地下环境条件,现有的泄漏检测技术不能很好地监测地下管线。本文介绍了一种新的解决方案,即用于地下管道监控的基于磁感应(MI)的无线传感器网络(MISE-PIPE),可为地下管道提供低成本且实时的泄漏检测和定位。 MISE-PIPE通过联合利用位于地下管道内部和周围的不同类型传感器的测量值来检测和定位泄漏。通过采用M1波导技术,可以将整个管道网络中不同类型的传感器的测量结果实时报告给管理中心。首先开发了MISE-PIPE的系统架构和操作框架。然后,根据运营框架,讨论研究挑战和开放研究问题。

著录项

  • 来源
    《Ad hoc networks 》 |2011年第3期| p.218-227| 共10页
  • 作者单位

    Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, CA 30332, United States;

    Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, CA 30332, United States;

    Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, United States;

    College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;

    College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;

    Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, CA 30332, United States,College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    underground pipelines; leakage detection and localization; wireless sensor networks; magnetic induction (mi) communications;

    机译:地下管道;泄漏检测和定位;无线传感器网络;磁感应(mi)通信;

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