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Implementation of a Low-Cost and Non-invasive System for the Measurement and Detection of Faulty Streetlights
Abstract
This paper puts forward the Implementation of low cost Detection of faulty streetlights. The street lighting might prevent vehicle accidents and injuries. However, maintaining streetlights and ensuring that they work correctly is labor intensive. Communities primarily depend on electrical inspectors from local government or residents to report faulty streetlights (FSLs). Some studies have focused on the addition of sensing and networking capabilities to streetlights that enables remote monitoring and automatic reporting of a streetlight’s condition via Wi-Fi, ZigBee, power line communication (PLC), or GPRS. However, these approaches require the addition of sensing components and networking modules to every streetlight that significantly increases costs and prohibits this system from being quickly realized. A practical solution is needed to detect FSLs at a low cost and with minimal human labor.
Badly lit roads lead to vehicle accidents and encourage crime. Therefore, it is important to rapidly detect and report faulty streetlights (FSLs) to the relevant authorities to keep roads safe. Currently, communities primarily depend on electrical inspectors to check streetlights regularly, which may result in long and unnecessary delays prior to repair. Recent studies have focused on adding a networking capability (i.e., a wireless sensor network) into street light poles to enable real time status reports. However, a smart system that would incorporate sensors and network modules into every streetlight would be expensive; therefore, it would be nearly impossible to realize this system quickly. In this paper, we propose a noninvasive method for detecting faulty lights that involves designing special equipment, called the Hitchhiker, which could be installed on vehicles and would collect information about streetlights’ intensity. This system would not require the modification of conventional streetlights.
Keywords: Faulty street light detection, low cost FSL detection, energy efficient, hitchhiker, Imap’s
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