Imaging Measurements for Public Lighting Predictive Maintenance

Abstract

The maintenance of lighting systems has been mentioned since 1922. Today, methods and procedures for the maintenance of public lighting are known, but they have remained of the classic, reactive type, based on periodic inspections or on the end users' reaction. Even after the LED revolution is triggered by optimizing maintenance costs, it is only meant to reduce electricity costs. Introducing tele-management systems was a new step. It meets predictive control, proactive systems, smart integrated systems, but maintenance remains of the classic, reactive type. Even the introduction of robots in this area has not brought a paradigm shift. Some limitations are, however, signaled, and imaging measurement methods are being used. These methods, however, are extensive, based on the sweeping of the entire street network for making measurements. The present paper introduces an imaging method for analyzing the degradation in time of the lighting system parameters, on the basis of which predictive maintenance works can be carried out. The method allows analysis of a section of public lighting, which makes it more efficient than other known methods.