基于多传感器数据融合技术的臭氧监测系统设计

针对臭氧在进行保鲜和消毒时的特点和要求,设计了一种基于多传感器数据融合技术的监测系统,用来严格监测臭氧浓度。系统采用自主设计且拥有专利的臭氧传感器进行数据采集,并通过搭建无线传感器网络实现对臭氧浓度的实时监测。为了提高数据的准确度,首先要剔除可疑数据,然后选择适当的算法对数据进行数据融合。仿真结果表明:数据融合后所得到的融合值更加平稳,可靠性高,通过选择适合的融合算法可以提高臭氧浓度采集的精度。

Design of ozone monitoring system based on multi-sensor data fusion technology

Aiming at characteristics and requirements of ozone in preservation and disinfection, design a kind of monitoring system based on multi-sensor data fusion technology to monitor ozone concentration strictly. The system uses sensor with independent and patented level for data collection, and by building up wireless sensor networks （WSNs） to realize real-time monitoring on ozone concentration. In order to improve accuracy of datas, first of all, eliminate suspicious datas, and then select appropriate algorithm for data fusion. Simulation results show that fusion value obtained by data fusion is more stable, high reliable, and precision of ozone concentration collection can be improved by choosing suitable data fusion algorithm.