Smart Street Lighting & Automated fault detection using power consumption data
نویسندگان
چکیده
Street lighting systems are one of the key infrastructures of a city and are important for safe driving and safety of the pedestrians. Also, owing to the large number of lamps, street lighting accounts to high energy consumption and thus a significant cost to the utilities. Smart street lighting solutions enable control, monitoring and automatic fault detection, transforming these systems into intelligent and energy efficient networks, resulting in huge savings in power bills. This paper presents an overall analysis of the smart grid solutions for street lighting and models a technique to detect the fault in a lamp, out of a plurality of lamps, using the aggregate power consumption data, maximizing detection probability and minimizing the false detection rate. The proposed method is tested and analyzed using Singapore data.
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