Placement accuracy algorithm for smart street lights

Abstract

The smart street light (SSL) system is an emerging technology in which a street light is equipped with an advanced control system for dimming and turning the light on or off. SSL also improves the maintenance work by providing an enhanced inventory, which includes Global Positioning System (GPS) coordinates that can be retrieved from a GPS-enabled SSL. However, GPS coordinates may be inaccurate due to human error and GPS inaccuracy. This work proposes new algorithms for identifying human error and GPS inaccuracy in SSL installation by using distance analysis and the solving point-in-polygon method. The algorithms are important for inventory and maintenance purposes. Faulty light poles can be easily detected using the proposed algorithms. Results prove that the algorithms successfully detect street light GPS inaccuracy and swapping of street light controllers and promptly check the out-of-area condition.