无线传感器信息融合在环境监测系统中的应用

The Application of Information Fusion Based on WSN in Environment Monitoring System

本文面向无线传感器网络(Wireless Sensor Networks,WSN)设计实现了基于多种环境信息融合的环境监测系统。通过无线传感节点采集温度、湿度、空气质量、光照等环境信息,将同种类型传感器采集的信息使用自适应加权算法进行一级融合,并上传到服务器平台,服务器使用BP神经网络算法对不同的环境信息进行二级融合。用户可以使用PC终端或移动终端查看各种环境信息,服务器能够对信息融合的决策建议进行推送及报警。结果表明,系统能完成环境信息的采集、融合、查看以及推送,将两级信息融合算法应用到系统中,提高了信息的准确性及系统的稳定性。

This paper focuses on Wireless Sensor Networks( WSN) design and implement based on a variety of environmental information fusion environmental monitoring system. Wireless sensor nodes capture the temperature,humidity,air quality environmental information light information etc. The same type of information collected by sensors using an adaptive weighted level 1 fusion algorithm,and uploads it to the server platform. The Server uses BP neural network algorithm on different environmental information for the secondary fusion. Users can use the PC terminal or mobile terminal to view a variety of environmental information. Server can able to make the information fusion policy recommendations push and warning. The results showed that the system can complete the environmental information's acquisition,fusion view and push,the two-level information fusion algorithm is applied to the system,improve the accuracy of the information and the stability of the system.