A complex event processing architecture for energy and operation management: industrial experience report

  • Authors:
  • Jimi Yung-Chuan Wen;Gu Yuan Lin;Today Sung;Minsiong Liang;Gary Tsai;Ming Whei Feng;Chien Ming Wu

  • Affiliations:
  • Institute for Information Industry, Taipei, Taiwan Roc;Institute for Information Industry, Taipei, Taiwan Roc;Institute for Information Industry, Taipei, Taiwan Roc;Institute for Information Industry, Taipei, Taiwan Roc;Institute for Information Industry, Taipei, Taiwan Roc;Institute for Information Industry, Taipei, Taiwan Roc;Institute for Information Industry, Taipei, Taiwan Roc

  • Venue:
  • Proceedings of the 5th ACM international conference on Distributed event-based system
  • Year:
  • 2011

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Abstract

In this report, we share our experience in developing a complex event processing architecture that bridges sensors networks to an energy management system used in the context of chain convenient stores. We analyze event data in real-time to generate immediate and predictive appliance/operation insights and enable instant response defined by simple business rules. For intuitive rule management, preprocessed events should be used in many cases instead of raw events collected from sensor network. We illustrate practical energy and operation management rules based on preprocessed events such as forecasted and classified events in addition to raw events.