Intelligent energy efficient street lighting system with predictive energy consumption

被引：8

作者：

Tukymbekov, Didar ^{[1
]}

Saymbetov, Ahmet ^{[1
]}

Nurgaliyev, Madiyar ^{[1
]}

Kuttybay, Nurzhigit ^{[1
]}

Nalibayev, Yerkebulan ^{[1
]}

Dosymbetova, Gulbakhar ^{[1
]}

机构：

[1] Al Farabi Kazakh Natl Univ, Fac Phys & Technol, 71 Al Farabi Ave, Alma Ata, Kazakhstan

来源：

2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019) | 2019年

关键词：

internet of things; wireless sensor network; solar energy; sensors; intelligent system; autonomous system;

D O I：

10.1109/sest.2019.8849023

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper considers an autonomous intelligent street lighting system with energy efficient predictive algorithm. The work is related to control of the system which uses algorithms that could provide with energy each lamppost during the night time. To this end, lamp posts are equipped with batteries, motion and light sensors and uniaxial solar trackers with azimuth orientation to the Sun. To simplify system monitoring, several lampposts are grouped together and controlled by a single control unit. The control unit is equipped with XBee 3 wireless module. Based on weather forecast for the coming days, the system adapts to weather condition changes and makes calculations of consumption and operating time. These calculations allow us to distribute the system energy consumption evenly during these days.

引用

页数：5

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