基于信息融合的开放式空气质量监测系统的研究

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。

Research on open air quality monitoring system based on information fusion

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.