Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Alarm Management Technology and Its Progress in Process Industries

Authors
Jinqiu Hu, Shuang Cai, Laibin Zhang
Corresponding Author
Jinqiu Hu
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.63How to use a DOI?
Keywords
alarm management; rational design; multivariate alarm analysis; causal identification
Abstract
With continuous progress of science and technology, the alarm configurations in process industries have become easier and huger. Due to the complexity of the process system and the unreasonable design of the alarm system, large and invalid alarms have been produced. Operators can be overwhelmed by the large amount of alarms and not take effective measures to abnormal conditions, leading to the occurrence of accidents. In order to effectively manage the alarm system and ensure the safe operation in industrial process, many scholars have made a lot of researches on the related issues of alarm management in process industries. By evaluating the existing methods, the problems in this field and the directions that deserve further research are pointed out in this paper. Finally, prospects are made with respect to the future development of alarm system management.
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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jinqiu Hu
AU  - Shuang Cai
AU  - Laibin Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Alarm Management Technology and Its Progress in Process Industries
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 278
EP  - 281
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.63
DO  - https://doi.org/10.2991/caai-17.2017.63
ID  - Hu2017/06
ER  -