demonstration

A smart helmet for network level early warning in large scale petrochemical plants

Authors:

Lei Shu,

Guangjie HanAuthors Info & Claims

IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks

Pages 390 - 391

https://doi.org/10.1145/2737095.2737136

Published: 13 April 2015 Publication History

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Abstract

As the compensation and extension of static wireless sensor nodes, wearable helmets can build regional early warning network of personnel security. In this paper, a wearable helmet is presented towards early warning of leaking toxic gas in large-scale petrochemical plants for protecting the lives and safety of workers better.

References

[1]

Z. Ren and Q. Yu. Gas concentration pre-warning system based on fuzzy structured element. In Journal of Coal Science and Engineering (China), 2008.

Google Scholar

[2]

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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Cited By

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Kim LYoon CLee DShin GJung S(2024)A Study on the Sustainability of Petrochemical Industrial Complexes Through Accident Data AnalysisProcesses10.3390/pr1212263712:12(2637)Online publication date: 22-Nov-2024
https://doi.org/10.3390/pr12122637
Choi YKim Y(2021)Applications of Smart Helmet in Applied Sciences: A Systematic ReviewApplied Sciences10.3390/app1111503911:11(5039)Online publication date: 29-May-2021
https://doi.org/10.3390/app11115039
Kim YBaek JChoi Y(2021)Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine SafetyApplied Sciences10.3390/app1110434211:10(4342)Online publication date: 11-May-2021
https://doi.org/10.3390/app11104342
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Index Terms

A smart helmet for network level early warning in large scale petrochemical plants
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Computer systems organization

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Published In

IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks

April 2015

430 pages

ISBN:9781450334754

DOI:10.1145/2737095

General Chair:
Suman Nath
Microsoft Research
,
Program Chairs:
Bhaskar Krishnamachari
University of Southern California
,
Anthony Rowe
Carnegie Mellon University

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2015

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Author Tags

Qualifiers

Demonstration

Funding Sources

Educational Commission of Guangdong Province, China
Guangdong High-Tech Development Fund
National Natural Science Foundation of China

Conference

IPSN '15

Sponsor:

IEEE-SPS
IEEE-CSS
ACM
SIGBED
IEEE-CS IRTS

IPSN '15: The 14th International Conference on Information Processing in Sensor Networks

April 13 - 16, 2015

Washington, Seattle

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

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Kim LYoon CLee DShin GJung S(2024)A Study on the Sustainability of Petrochemical Industrial Complexes Through Accident Data AnalysisProcesses10.3390/pr1212263712:12(2637)Online publication date: 22-Nov-2024
https://doi.org/10.3390/pr12122637
Choi YKim Y(2021)Applications of Smart Helmet in Applied Sciences: A Systematic ReviewApplied Sciences10.3390/app1111503911:11(5039)Online publication date: 29-May-2021
https://doi.org/10.3390/app11115039
Kim YBaek JChoi Y(2021)Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine SafetyApplied Sciences10.3390/app1110434211:10(4342)Online publication date: 11-May-2021
https://doi.org/10.3390/app11104342
Murauer MJungwirth FAnzengruber BAbbas AAhmad AAzadi BCho JEnnsbrunner HFerscha AGerhard DGollan BHaslgrübler MSelymes JSopidis GStütz MWeißenbach PMakedon F(2019)A task-independent design and development process for cognitive products in industrial applicationsProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3322748(358-367)Online publication date: 5-Jun-2019
https://dl.acm.org/doi/10.1145/3316782.3322748
Shu LWang LNiu JZhu CMukherjee M(2017)Releasing Network Isolation Problem in Group-Based Industrial Wireless Sensor NetworksIEEE Systems Journal10.1109/JSYST.2015.247527611:3(1340-1350)Online publication date: Sep-2017
https://doi.org/10.1109/JSYST.2015.2475276
Huo ZMukherjee MShu LChen YZhou Z(2016)Cloud-based Data-intensive Framework towards fault diagnosis in large-scale petrochemical plants2016 International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2016.7577209(1080-1085)Online publication date: Sep-2016
https://doi.org/10.1109/IWCMC.2016.7577209
Huo ZShu LZhou ZChen YLi KZeng JKrishna MHan GWang HRodrigues J(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
https://dl.acm.org/doi/10.1145/2757757.2757758

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Design of a smart helmet

Evaluating performance of early warning indices to predict physiological instabilities

Early warning method for enterprise financial informatisation caused by tax difference

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