Sistema de identificação de lâmpadas de iluminação pública

Abstract

The misinformation between the actual public lighting equipment and those reported by municipalities to the electricity companies may result in a kind of loss mainly referred as commercial loss. The usual adopted procedure to minimize this problem is sending technician teams to the field to do a low effective inspection of the lighting points. This paper proposes an automatic identification system of street lighting lamps, which allows the electricity companies to draw up a map of the lighting points, estimating the consumption and avoiding commercial losses. Initially, the work addresses the scenario of public lighting in Brazil, including the main technologies used in street lighting and the transfer of the assets to municipalities. Then, the main radiometric concepts which characterize the street lighting systems are described. After data acquisition board built is presented. This board contains a set of 9 radiometric sensors which measure the electromagnetic radiation from the lamps. The projects of the firmware and the data acquisition software are also presented. A measurement methodology based on positioning sensors to ensure the reproducibility of the measurements is developed. In addition to describing all of these items, this paper presents an adjustable street lighting structure, which allowed the comparative study of the techniques employed, and a calibration method of data acquisition boards. Finally, the radiometric data classification system is shown, which allows us to infer which lamp is being measured. A comparison of various types of classifiers is made. The experimental results demonstrate the proper functioning of the system in various operating conditions.