Intelligent System for Monitoring and Control of Street Lighting

In an era where cities are growing at an unprecedented pace and facing an array of challenges, from increasing population densities to aging infrastructure, it has become imperative to leverage advanced technology to ensure efficient and sustainable urban development. The work in this paper is focused on enabling and improving the monitoring of city infrastructure based on variables trends, setting alarm limit values and developing various predictive maintenance diagnostic algorithms. Based on the collected data, an information interface is developed for communication with the operator of the lighting system, which includes visualizations of various indicators such as the density of road and pedestrian traffic, weather conditions in different locations, lighting level, electricity consumption and identification of the work of individual lighting poles.