凌启东,袁 冠,王 敏,王鸿磊.基于信息融合的开放式空气质量监测系统的研究[J].电子测量与仪器学报,2020,34(5):149-156 |
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 |
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DOI: |
中文关键词: 空气质量监测 信息融合 大数据 自动校准 |
英文关键词:air quality monitoring information fusion big data automatic calibration |
基金项目:徐州市科技发展基金(KC17132)、中国博士后基金(2018M642358)资助项目 |
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中文摘要: |
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。 |
英文摘要: |
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. |
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