• DocumentCode
    1143003
  • Title

    Monitoring in Industrial Systems Using Wireless Sensor Network With Dynamic Power Management

  • Author

    Salvadori, Fabiano ; De Campos, Maurício ; Sausen, Paulo Sérgio ; De Camargo, Robinson Figueiredo ; Gehrke, Camila ; Rech, Cassiano ; Spohn, Marco Aurélio ; Oliveira, Alexandre Cunha

  • Author_Institution
    Dept. of Technol., Univ. Regional do Noroeste do Estado do Rio Grande do Sul (UNIJUI), Ijui, Brazil
  • Volume
    58
  • Issue
    9
  • fYear
    2009
  • Firstpage
    3104
  • Lastpage
    3111
  • Abstract
    The advances in wireless communication, microelectronics, digital electronics, and highly integrated electronics and the increasing need for more efficient controlled electric systems make the development of monitoring and supervisory control tools the object of study of many researchers. This paper proposes a digital system for energy usage evaluation, condition monitoring, diagnosis, and supervisory control for electric systems applying wireless sensor networks (WSNs) with dynamic power management (DPM). The system is based on two hardware topologies responsible for signal acquisition, processing, and transmission: intelligent sensor modules (ISMs) and remote data acquisition units (RDAUs). The gateway function of the wired network is carried out by remote servers (RSs) based on the Soekris architecture, which is responsible for receiving the data collected and transmitting it to the supervisory controller (SC). To extend the WSN lifetime, sensor nodes implement a DPM protocol. The basic characteristics of the presented system are the following: 1) easy implementation; 2) low-cost implementation; 3) easy implementation of redundant routines (security); 4) portability/versatility; and 5) extended network lifetime.
  • Keywords
    condition monitoring; data acquisition; signal detection; wireless sensor networks; DPM protocol; Soekris architecture; condition monitoring; digital electronics; dynamic power management; energy usage evaluation; highly integrated electronics; industrial systems; intelligent sensor modules; microelectronics; remote data acquisition units; remote servers; signal acquisition; signal processing; signal transmission; supervisory control; wireless communication; wireless sensor network; Dynamic power management (DPM); monitoring of industrial systems; supervisory control; wireless sensor network (WSN);
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2009.2016882
  • Filename
    5169976