Lighting System for Smart Cities

Author(s):

Rani Pandurang Mote , NBNSSOE; Prof. R. M. Samant, NBNSSOE; Priyanka Raskar, NBNSSOE; Komal Nighul, NBNSSOE; Vaishnavi Patil, NBNSSOE

Keywords:

Street Light , Raspberry 3, Power Control, Lighting Control, GSM Module, Genetic Algorithm, renewable energy

Abstract:

Street Light is essential to ensure comfort and road safety for road user. Street light technology has been improved to more efficient and intelligent. Nevertheless, street light has a problem with energy efficient and cost of system. Street light is one of significant case in electrical consumption for lighting system. Development of street light technology is directed to manage and optimize the system. Management and optimization system are required to solve energy efficiency problem and cost of system problem management is related with remote measurement and control system. So in this system we are using GOOGLE MAP to read graphical user interface and raspberry pi used to monitor energy power. In street light support multiuser system which is system admin and operational admin using this. We switch off or on the light. Street light support the multiple pattern like twp alternative and three alternatives and so on. Sometime street light remain on in the morning is causes wastage of power so we are using automated system.

Other Details:

Manuscript Id	:	IJSTEV3I10115
Published in	:	Volume : 3, Issue : 10
Publication Date	:	01/05/2017
Page(s)	:	367-372

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