The Research of Gas Detection Based on data Fusion

DOI

10.2991/amcce-15.2015.4How to use a DOI?

Keywords

The lower computer; Indoor harmful gas; Detection and control system; Data fusion

Abstract

Aiming at indoor harmful gas pollution of residents, a real-time online monitoring system is designed based on the detecting and control of harmful gases. The lower computer system make the STM32F103 microcontroller as the core, PC as the monitoring center, combining the technology of multi-sensor data fusion, using self-adapting weighting data fusion algorithm and decision level data fusion algorithm based on fuzzy set theory. Through the upper machine people can not only understand the quality of the indoor environment in time, and the system can inhibit the drift and noise of sensors to some extent, improve the measuring accuracy of the monitoring system for indoor harmful gas, improve system reliability, reduce system fuzziness, enhance the reliability of system and assure the system having good robustness.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Haiqun Wang
AU  - Dongyun Liu
PY  - 2015/04
DA  - 2015/04
TI  - The Research of Gas Detection Based on data Fusion
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 19
EP  - 24
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.4
DO  - 10.2991/amcce-15.2015.4
ID  - Wang2015/04
ER  -