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基于无线传感器网的噪声监测系统设计及应用
引用本文:全元,王翠平,王豪伟,苏晓丹,董仁才.基于无线传感器网的噪声监测系统设计及应用[J].环境科学与技术,2012(Z2):255-258.
作者姓名:全元  王翠平  王豪伟  苏晓丹  董仁才
作者单位:中国科学院城市环境研究所城市环境与健康重点实验室;中国科学院生态环境研究中心城市与区域生态国家重点实验室
基金项目:中国科学院知识创新重要方向项目:数字城市环境网络建设与示范(KZCX2-YW-453);厦门市科技计划项目:环境物联网建设技术示范与标准研究(3502Z20112020)
摘    要:噪声污染严重危害着人类的身心健康与生活质量,基于物联网技术拓展噪声监测方法的研究对当前我国城市环境噪声污染控制具有重要的指导意义。从噪声监测同步、联动、实时的需求出发,利用无线传感器网络技术中的ZigBee技术,结合地理信息系统,设计了基于无线传感器网络的噪声监测系统,并将该系统应用于某科研单位园区噪声污染的联网监测。实验结果表明,基于无线传感器网络的噪声监测系统的监测结果可以反映噪声污染的真实情况,可以作为治理噪声污染对策的依据。

关 键 词:无线传感器网络  ZigBee  系统设计  噪声监测

The Design and Application of Noise Monitoring System Based on the Wireless Sensor Network
QUAN Yuan,WANG Cui-ping,WANG Hao-wei,SU Xiao-dan,DONG Ren-cai.The Design and Application of Noise Monitoring System Based on the Wireless Sensor Network[J].Environmental Science and Technology,2012(Z2):255-258.
Authors:QUAN Yuan  WANG Cui-ping  WANG Hao-wei  SU Xiao-dan  DONG Ren-cai
Institution:1,2,(1.Key Lab of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021,China;2.State Key Laboratory of Urban and Regional Ecology,Research Centre for Eco-environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China)
Abstract:The noise pollution is seriously harmful to human physical and mental health,consequently influence the living environment.The study of the noise monitoring methods,based on the Internet of Things technology has important significance tocontrolling urban environmental noise pollution.According to synchronization,interaction and real-time monitoring requirements,a noise monitoring system is designed based on ZigBee technology in the wireless sensor network technology,combined with geographic information systems.And the system is usedin a study area to monitor noise pollution.The results show,that the noise monitoring system based on wireless sensor networks to monitor the results can reflect the real situation of noise pollutions,and can be used as the basis of control noise pollution.
Keywords:wireless sensor network  ZigBee  system design  noise monitoring
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