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Using wearable equipment to construct monitoring maps in large-scale petrochemical plants

Published: 13 April 2015 Publication History

Abstract

This paper focuses on using wearable equipment to make workers participate in constructing monitoring maps in large-scale petrochemical plants, which collaborates with static sensor nodes in given areas. Furthermore, this study provides a sensing pattern with less cost and higher flexibility, which effectively contribute to collective effort with static sensor nodes. Several open research issues are discussed.

Reference

[1]
K. Wang, H. Lu, L. Shu, and J. Rodrigues. A context-aware system architecture for leak point detection in large-scale petrochemical industries. In IEEE Communications Magazine, 2014.

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  • (2015)Data Collection Middleware for Crowdsourcing-based Industrial Sensing IntelligenceProceedings of the ACM International Workshop on Mobility and MiddleWare Management in HetNets10.1145/2757757.2757758(3-8)Online publication date: 22-Jun-2015

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  1. Using wearable equipment to construct monitoring maps in large-scale petrochemical plants

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      cover image ACM Conferences
      IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks
      April 2015
      430 pages
      ISBN:9781450334754
      DOI:10.1145/2737095
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 13 April 2015

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      Author Tags

      1. industrial monitoring maps
      2. networks
      3. wearable equipment

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      Overall Acceptance Rate 143 of 593 submissions, 24%

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      • (2015)Data Collection Middleware for Crowdsourcing-based Industrial Sensing IntelligenceProceedings of the ACM International Workshop on Mobility and MiddleWare Management in HetNets10.1145/2757757.2757758(3-8)Online publication date: 22-Jun-2015

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