Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Application of Data Mining Technology in Intelligent Environmental Protection Systems

Authors
Guikang Gao, Mingbo Xiao, Zhen Wang
Corresponding Author
Guikang Gao
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.6How to use a DOI?
Keywords
intelligent environmental protection; data mining techniques; association rules; flue gas desulfurization monitor
Abstract
Among the pollutants in the power industry emissions, sulfur dioxide so far has the most serious impact on the environment. In the desulfurization process, it is common to have data with complex correlations, high real-time, and huge amount. Data mining has become an important technique to deal with these data, and to facilitate better environmental protection and pollution control over the total emissions. The theme of this paper is to effectively analyze the correlation between data, via data mining technology and data association rules, to improve overall decision-making capabilities, and then to provide a reliable basis for intelligent environmental protection. In this paper, we propose parameters predictive model. We verify the proposed algorithms using actual monitoring data of desulfurization processes, and demonstrate that the application of the models has achieved good performance in desulfurization monitoring.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.6How 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  - Guikang Gao
AU  - Mingbo Xiao
AU  - Zhen Wang
PY  - 2016/01
DA  - 2016/01
TI  - Application of Data Mining Technology in Intelligent Environmental Protection Systems
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 23
EP  - 26
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.6
DO  - https://doi.org/10.2991/icaita-16.2016.6
ID  - Gao2016/01
ER  -