The Research of Gas Detection Based on data Fusion
Haiqun Wang, Dongyun Liu
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.4How to use a DOI?
- The lower computer; Indoor harmful gas; Detection and control system; Data fusion
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.4 DO - https://doi.org/10.2991/amcce-15.2015.4 ID - Wang2015/04 ER -