Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings

Research Article

Design and Implementation of Intelligent Car for Light Environment Detection Based on Data Analysis

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  • @INPROCEEDINGS{10.1007/978-3-030-21730-3_24,
        author={Xiangfeng Li and Li Shao and Yuxu Xiao and Ling Yu and Bao Liu and Xue Yan and Jiabao Zou and Ya-nan Yang and Xiaoyang He},
        title={Design and Implementation of Intelligent Car for Light Environment Detection Based on Data Analysis},
        proceedings={Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings},
        proceedings_a={GREENETS},
        year={2019},
        month={6},
        keywords={Intelligent car Illumination measurement Wireless remote control Cloud server},
        doi={10.1007/978-3-030-21730-3_24}
    }
    
  • Xiangfeng Li
    Li Shao
    Yuxu Xiao
    Ling Yu
    Bao Liu
    Xue Yan
    Jiabao Zou
    Ya-nan Yang
    Xiaoyang He
    Year: 2019
    Design and Implementation of Intelligent Car for Light Environment Detection Based on Data Analysis
    GREENETS
    Springer
    DOI: 10.1007/978-3-030-21730-3_24
Xiangfeng Li1, Li Shao1, Yuxu Xiao1, Ling Yu1, Bao Liu1, Xue Yan1, Jiabao Zou1, Ya-nan Yang1, Xiaoyang He1,*
  • 1: Dalian Polytechnic University
*Contact email: hexy@dlpu.edu.cn

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.