An estimated method of visibility for a remote sensing system based on LabVIEW and Arduino

Xiaochuan Chen; Chi Ruan; Hairong Zheng

doi:10.1117/12.2258723

28 February 2017 An estimated method of visibility for a remote sensing system based on LabVIEW and Arduino

Xiaochuan Chen, Chi Ruan, Hairong Zheng

Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 102564H (2017) https://doi.org/10.1117/12.2258723
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China

Abstract

Visibility data have long needed to traffic meteorological monitoring and warning system, but visibility data have monitored with expensive special equipment. Visibility degradation in fog is due to the light scattering of fog droplets, which are transit from aerosols via activation. Considering strong correlation between PM_2.5 (Particulate matter with diameters less than 2.5μm) mass concentration and visibility, regression models can be useful tools for retrieving visibility data from available PM_2.5 data. In this study, PM_2.5 is measured by low cost and commercial equipment. The results of experiment indicate that relative humidity is the key factor to impact accuracy correlation between PM_2.5 and visibility, the strongest correlation locates in the RH (<60%). Results of the studies suggest that visibility decreases with increases of PM_2.5 mass concentration; however, it has been found the decrease rate tapers off gradually. In order to capture the real-time visibility data, to grasp the process of low visibility events, the design of remote monitoring system is put forward. Using the GPRS network to link to cloud as a server, proposed the Arduino as the controller, design and implements a wireless serial acquisition and control system based LabVIEW and Arduino, this system can achieve the function of real-time synchronization Web publishing. The result of the test indicates that this system has typical characteristics of friendly interface, high levels of reliability and expansibility, moreover it can retrieve visibility data from available PM_2.5 data that can easy to access by low-cost sensor along the highway.

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Xiaochuan Chen, Chi Ruan, and Hairong Zheng "An estimated method of visibility for a remote sensing system based on LabVIEW and Arduino", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102564H (28 February 2017); https://doi.org/10.1117/12.2258723

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KEYWORDS

Visibility

Visibility through fog

Data modeling

Humidity

LabVIEW

Aerosols

Atmospheric particles

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