Abstract
With the wide application of LED lighting products in road lighting, there are more and more requirements for illumination measurement. Traditional road illumination measurement uses full manual method, which takes a long time, but the amount of data collected is small, which easily leads to inadequate measurement accuracy, and the full manual measurement method cannot guarantee the personal safety of the surveyors. Therefore, the development and design of an intelligent car can accurately and quickly detect the illumination of street lamp and road surface. The design of this intelligent car is based on cloud server. The hardware core is composed of Raspberry pie and Arduino. Through Arduino management and scheduling illuminance measurement module, GPS positioning module and wireless remote control module, the measured data are packaged and sent to the cloud server through Raspberry pie for data storage and analysis in real time. Finally, the data are stored and analyzed through the visual window. The test results were displayed. Compared with the traditional road lighting detection method, the illumination detection method based on intelligent car can improve the detection efficiency, increase the data accuracy and ensure the safety of the inspectors.
Supported by Science Foundation for Goldlamp Co., Ltd (2017-228195).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, X. et al. (2019). Design and Implementation of Intelligent Car for Light Environment Detection Based on Data Analysis. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_24
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DOI: https://doi.org/10.1007/978-3-030-21730-3_24
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