Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Electronic Balance Application in PM2.5 ~ PM10 Detection

Authors
Zhongqi Xiong, Peiying Yu, Yi Su
Corresponding Author
Zhongqi Xiong
Available Online November 2016.
DOI
10.2991/aiie-16.2016.106How to use a DOI?
Keywords
total suspended particulates (TSP); electronic balance; PM2.5 ~ PM10 weighing method
Abstract

In order to research electronic balance application in PM2.5 ~ PM10 particle "weighing method" detection. This article studied operational principle and relative merits of 3 common detection methods including TEOM analytic method, beta-ray analytic method and weighting analytic method for PM2.5 ~ PM10 according to existing standard specifications. And expounded emphatically practical application of electronic balance in PM2.5 ~ PM10 particle "weighing method" detection procedure on aspects of balance selection, environmental requirement and detection operating principle by taking the ultra-micro and micro mass particle detection system. Finally, this article summarizes problems and put forward development direction according to practical application results.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.106How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhongqi Xiong
AU  - Peiying Yu
AU  - Yi Su
PY  - 2016/11
DA  - 2016/11
TI  - Electronic Balance Application in PM2.5 ~ PM10 Detection
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 462
EP  - 465
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.106
DO  - 10.2991/aiie-16.2016.106
ID  - Xiong2016/11
ER  -