The Research of Gas Detection Based on data Fusion

Abstract

Abstract:Aiming at the problem of gas pollution in the environment, the traditional testing equipments often appear the phenomenon of misstatement and false positives. 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 harmful gas in the environment, improve system reliability, reduce system fuzziness, enhance the reliability of system and assure the system having good robustness.