多传感器信息融合技术在环境质量监测数据处理中的应用研究

Multi-sensor information fusion technology in the monitoring of environmental quality data processing application

为了更好的、更有效的对城市空气质量中可吸入的颗粒物等环境参数进行监测。将信息融合技术应用于环境质量监测数据处理中,把多个环境参数采集节点提供的数据进行融合处理,引入一种多参数、两级信息融合的监测方法,采用Bayes理论对剔除疏忽误差的同质数据进行一级融合,形成被监测区域环境的特征向量;然后用灰色理论进行灰色关联度分析的二级融合,最后给出所监测的城市空气环境质量等级报告。该方法可以提高对目标参数监测的准确性、多样性、稳定性和全面性。

In order to better and more effectively monitor inhalable particulate matter and the other environment parameters in the air quality of urban environment, Information fusion technology is applied to environmental quality monitoring data processing, and the multiple acquisition nodes of environmental parameter provides the data use of the technology of fusion processing. A monitoring method which use the muhiparameter and two levels of information fusion is introduced. This paper uses bayes theory to eli minate negligent errors of homogeneous data process level fusion, and forms environment feature vector of the monitored region, then uses Grey relational analysis in Grey theory process secondary fusion. Finally the level report which involves monitoring in urban air environmental quality is given. The method to improve the accuracy, diversity, stability, and comprehensive hess of the target parameter monitoring.