Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks

被引:27
作者
Cheng, Yusi [1 ]
Fang, Chen [2 ]
Yuan, Jingfeng [1 ]
Zhu, Lei [1 ]
机构
[1] Southeast Univ, Sch Civil Engn, 2 Sipailou, Nanjing 210096, Peoples R China
[2] Widelinker Intelligent Technol Co Ltd, 29 Kejian Rd, Nanjing 211100, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 23期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
smart lighting; distributed wireless sensor network; occupancy sensors; daylight harvesting; energy savings; BUILDING OCCUPANCY ESTIMATION; ILLUMINATION CONTROL; ENERGY SAVINGS; DAYLIGHT; EFFICIENCY; ACTUATION;
D O I
10.3390/app10238545
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Buildings have been an important energy consuming sector, and inefficient controlling of lights can result in wastage of energy in buildings. The aim of the study is to reduce energy consumption by implementing a smart lighting system that integrates sensor technologies, a distributed wireless sensor network (WSN) using ZigBee protocol, and illumination control rules. A sensing module consists of occupancy sensors, including passive infrared (PIR) sensors and microwave Doppler sensors, an ambient light sensor, and lighting control rules. The dimming level of each luminaire is controlled by rules taking into consideration occupancy and daylight harvesting. The performance of the proposed system is evaluated in two scenarios, a metro station and an office room, and the average energy savings are about 45% and 36%, respectively. The effects of different factors on energy savings are analyzed, including people flow density, weather, desired illuminance, and the number of people in a room. Experimental results demonstrate the robustness of the proposed system and its ability to save energy consumption. The study can benefit the development of intelligent and sustainable buildings.
引用
收藏
页码:1 / 21
页数:21
相关论文
共 45 条
[1]   Occupancy detection in non-residential buildings - A survey and novel privacy preserved occupancy monitoring solution [J].
Ahmad, J. ;
Larijani, H. ;
Emmanuel, R. ;
Mannion, M. ;
Javed, A. .
APPLIED COMPUTING AND INFORMATICS, 2021, 17 (02) :279-295
[2]   Energy consumption and efficiency in buildings: current status and future trends [J].
Allouhi, A. ;
El Fouih, Y. ;
Kousksou, T. ;
Jamil, A. ;
Zeraouli, Y. ;
Mourad, Y. .
JOURNAL OF CLEANER PRODUCTION, 2015, 109 :118-130
[3]   Estimating occupancy in heterogeneous sensor environment [J].
Amayri, Manar ;
Arora, Abhay ;
Ploix, Stephane ;
Bandhyopadyay, Sanghamitra ;
Quoc-Dung Ngo ;
Badarla, Venkata Ramana .
ENERGY AND BUILDINGS, 2016, 129 :46-58
[4]  
[Anonymous], 2013, TRANSITION SUSTAINAB
[5]   Distributed Illumination Control With Local Sensing and Actuation in Networked Lighting Systems [J].
Caicedo, David ;
Pandharipande, Ashish .
IEEE SENSORS JOURNAL, 2013, 13 (03) :1092-1104
[6]   Building occupancy estimation and detection: A review [J].
Chen, Zhenghua ;
Jiang, Chaoyang ;
Xie, Lihua .
ENERGY AND BUILDINGS, 2018, 169 :260-270
[7]   A fuzzy-logic IoT lighting and shading control system for smart buildings [J].
Chiesa, Giacomo ;
Di Vita, Daniel ;
Ghadirzadeh, Ahmadreza ;
Herrera, Andres Hernando Munoz ;
Rodriguez, Juan Camilo Leon .
AUTOMATION IN CONSTRUCTION, 2020, 120
[8]   Platform design for lifelog-based smart lighting control [J].
Cho, Younjoo ;
Seo, Jiyoung ;
Lee, Heesu ;
Choi, Seri ;
Choi, Anseop ;
Sung, Minki ;
Hur, Yoonseok .
BUILDING AND ENVIRONMENT, 2020, 185
[9]   Occupancy-based lighting control in open-plan office spaces: A state-of-the-art review [J].
de Bakker, Christel ;
Aries, Myriam ;
Kort, Helianthe ;
Rosemann, Alexander .
BUILDING AND ENVIRONMENT, 2017, 112 :308-321
[10]   Analysis of energy savings of three daylight control systems in a school building by means of monitoring [J].
Delvaeye, R. ;
Ryckaert, W. ;
Stroobant, L. ;
Hanselaer, P. ;
Klein, R. ;
Breesch, H. .
ENERGY AND BUILDINGS, 2016, 127 :969-979