基于信息融合的开放式空气质量监测系统的研究  

Research on open air quality monitoring system based on information fusion

作　　者：凌启东[1] 袁冠[2] 王敏 王鸿磊[1] Ling Qidong;Yuan Guan;Wang Min;Wang Honglei(School of Information and Electrical Engineering,Xuzhou College of Industrial Technology,Xuzhou 221440,China;School of Computer Science and Technology,China University of Mining and Technology,Xuzhou 221116,China;Instrument Department,Xuzhou Environmental Monitoring Center of Jiangsu Province,Xuzhou 221006,China)

机构地区：[1]徐州工业职业技术学院信息与电气工程学院,徐州221440 [2]中国矿业大学计算机科学与技术学院,徐州221116 [3]江苏省徐州市环境监测中心仪器室,徐州221006

出　　处：《电子测量与仪器学报》2020年第5期149-156,共8页Journal of Electronic Measurement and Instrumentation

基　　金：徐州市科技发展基金(KC17132);中国博士后基金(2018M642358)资助项目。

摘　　要：针对空气质量监测网络不完善、监测精细化水平较低等问题,提出了一种开放式空气质量监测系统。融合了小型传感器空气质量监测设备和大型空气质量监测设备的优点,构建了大数据智慧云平台;基于移动位置和数据相关性实现了小型传感器监测设备的自动校准,解决了小型传感器监测设备的零点漂移问题;基于信息融合技术提出了一种智能空气质量预测算法,实现了普通用户对具体位置的空气质量的实时掌握。实验结果表明,该系统预测值均方误差低,精度高,同时可以有效自动校准监测设备。In view of the imperfect air quality monitoring network and low level of monitoring refinement,an open air quality monitoring system is proposed.Integrating the advantages of small sensor air quality monitoring equipment and large air quality monitoring equipment,a large data intelligent cloud platform is constructed.Based on mobile location and data correlation,the automatic calibration of small sensor monitoring equipment is realized,and the zero drift problem of small sensor monitoring equipment is solved.An intelligent air quality prediction algorithm is proposed based on information fusion technology.It realizes the real-time control of the air quality of the specific location by ordinary users.The experimental results show that the system has low mean square error and high accuracy,and can effectively and automatically calibrate the monitoring equipment.

关 键 词：空气质量监测 信息融合 大数据 自动校准 

分 类 号：TN98[电子电信—信息与通信工程] TP39[自动化与计算机技术—计算机应用技术]