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Smart LED Street Light Systems: A Bruneian Case Study

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2017)

Abstract

Smart LED Street Light System (SLSLS) could offer a more systematic and efficient approach that would be beneficial to the government, road users and community. This could reduce energy consumption by intelligently switching on and off and dimming of lights according to real-time data from sensors and control request from end-users. SLSLS could also minimise human intervention by incorporating dynamic faulty light detection through wireless communication. This paper presents the design of a low cost SLSLS using off-the-shelf Arduino based controller using wireless and sensor networks. This requires wireless data transmission between street light and storing data in the system database. The system includes an interactive interface that monitors and provides data visualisation of vital and up-to-date information to end-users. The SLSLS prototype units are developed to test the feasibility of these goals: to demonstrate the smart functionality of the wireless data transmission; a back-end database server to provide storage unit; and the monitoring control and display interface (MCDI).

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Correspondence to Thien Wan Au .

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Ali Kumar, D.N.S.K.P., Au, T.W., Suhaili, W.S. (2017). Smart LED Street Light Systems: A Bruneian Case Study. In: Phon-Amnuaisuk, S., Ang, SP., Lee, SY. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2017. Lecture Notes in Computer Science(), vol 10607. Springer, Cham. https://doi.org/10.1007/978-3-319-69456-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-69456-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69455-9

  • Online ISBN: 978-3-319-69456-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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