Low-cost PM Sensors Performance, Drift Analysis, Calibration and Optimal Deployment

被引:1
|
作者
Tiwari, Gautam [1 ]
Lall, Brejesh [1 ]
机构
[1] Indian Inst Technol Delhi, BSTTM, Delhi, India
关键词
Air Pollution; Quantitative Assessment; Gaussian distribution; R square Values; Bins-Variation; Intervariability; Mann Whitney Test and Wilcox signed-rank test; Low cost sensor network; Correlation coefficient;
D O I
10.1109/COMSNETS56262.2023.10041400
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This research work, introduces the method to find agreement among low-cost sensors in collocation (Intervariability) monitoring PM Concentrations and ways to correct it. Variability observed in extreme ranges of humidity, temperature and level of concentration. Further, unreasonable layout of sensor nodes is optimized in the monitoring network and showed that monitoring of air pollution of an entire area can be possible using only a few significant nodes. In future, this reliable PM sensor based AQM system can be used on Terrestrial and Aerial Mobile Platforms for PM monitoring. PM concentration values generally higher at places, which are heavily trafficked and close proximity to construction activities. Real-time pollution tracking is another possibility using this reliable and stable mobile AQM system prototype integrated with UAVs.
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页数:5
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