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Authors: Li Leyang 1 ; Guo Shuaichen 2 and Hao Peifeng 1

Affiliations: 1 Software College of Northeastern Uinversity, China ; 2 Shenyang No.2 High School, China

Keyword(s): Environmental protection, Smog particle recognizing, Background segregation, Emission.

Abstract: Environmental protection has become an important issue in modern enterprises, usually involving harmful liquid and harmful gas to be detected. In order to address this issue, we propose a new intelligent algorithm to identify and estimate the emission based on the color and smoke. To be specific, the three-frame difference method is used to achieve the background segregation, and the area of the smoke is separated after the images are proceeded by a mask. The color dictionary is employed to determine what color it is. Then, the background separation algorithm and the physics knowledge are used to establish an estimation model. In the experiment, we use the proposed approach to estimate harmful gas emissions in the real-world production process of enterprises. Results validate the effectiveness and efficiency of the proposed algorithm, in terms of the prediction accuracy.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Leyang, L.; Shuaichen, G. and Peifeng, H. (2019). Intelligent Identification and Emissions Estimation of Harmful Gas Based on Background Segregation Algorithm. In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC; ISBN 978-989-758-357-5, SciTePress, pages 5-9. DOI: 10.5220/0008095800050009

@conference{ctisc19,
author={Li Leyang. and Guo Shuaichen. and Hao Peifeng.},
title={Intelligent Identification and Emissions Estimation of Harmful Gas Based on Background Segregation Algorithm},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC},
year={2019},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008095800050009},
isbn={978-989-758-357-5},
}

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC
TI - Intelligent Identification and Emissions Estimation of Harmful Gas Based on Background Segregation Algorithm
SN - 978-989-758-357-5
AU - Leyang, L.
AU - Shuaichen, G.
AU - Peifeng, H.
PY - 2019
SP - 5
EP - 9
DO - 10.5220/0008095800050009
PB - SciTePress

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