Detection of Street Lighting Bulbs Information to Minimize Commercial Losses

被引：0

作者：

Soares, G. M. ^{[1
]}

Almeida, A. G. B. ^{[1
]}

Mendes, R. M. ^{[1
]}

Teixeira, E. C. ^{[1
]}

Braga, H. A. C. ^{[1
]}

Machado, M. N. ^{[2
,3
]}

Broetto, R. S. ^{[2
,3
]}

Castro, M. V. H. B. ^{[2
,3
]}

Gomes Filho, H. O. ^{[2
,3
]}

Varejao, F. M. ^{[2
,3
]}

Pereira Filho, J. G. ^{[2
,3
]}

Candeia, A. B. ^{[3
]}

Sousa, R. A. A. ^{[3
]}

机构：

[1] Univ Fed Juiz de Fora, Modem Lighting Res Grp NIMO, Juiz De Fora, MG, Brazil

[2] Univ Fed Espirito Santo, Vitoria, ES, Brazil

[3] EDP Escelsa & Bandeirante, Vitoria, ES, Brazil

来源：

2013 SEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2013年

关键词：

public lighting; commercial losses; light sensors; data acquisition system; classifier;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper introduces a computational methodology developed to extract information about public lighting points. The objective is to give electricity companies exact information about the actual luminaries and bulbs installed on the lighting poles, thus minimizing commercial losses. The developed electronic system, that incorporates hardware and software elements, is discussed, as well as a theoretical background concerning spectrum signature detection and the computational intelligence employed to classify lamp classes and wattages. First experimental results obtained from the devised system are presented.

引用

页码：895 / 900

页数：6

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