Intelligent system for lighting control in smart cities

被引:88
|
作者
De Paz, Juan F. [1 ]
Bajo, Javier [2 ]
Rodriguez, Sara [1 ]
Villarrubia, Gabriel [1 ]
Corchado, Juan M. [1 ]
机构
[1] Univ Salamanca, Sch Sci, Dept Comp Sci & Automat, Plaza Merced S-N, E-37008 Salamanca, Spain
[2] Univ Politecn Madrid, Sch Comp Sci, Dept Artificial Intelligence, Campus Montegancedo, E-28660 Madrid, Spain
关键词
Light sensors; Intelligent systems; Distributed systems; Autonomous control; Street lighting; ENERGY EFFICIENCY; STREET;
D O I
10.1016/j.ins.2016.08.045
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an adaptive architecture that centralizes the control of public lighting and intelligent management to economize lighting and maintain maximum visual comfort in illuminated areas. To carry out this management, the architecture merges various techniques of artificial intelligence (AI) and statistics such as artificial neural networks (ANN), multi-agent systems (MAS), EM algorithm, methods based on ANOVA, and a Service Oriented Approach (SOA). It achieves optimization in terms of both energy consumption and cost by using a modular architecture, and is fully adaptable to current lighting systems. The architecture was successfully tested and validated and continues to be in development. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:241 / 255
页数:15
相关论文
共 50 条
  • [41] Direct Illuminance-Contribution-Based Lighting Control for IoT-Based Lighting Systems in Smart Buildings
    Kim, Dae Ho
    Jeon, Seung Hyun
    Sung, Jung-Sik
    SUSTAINABILITY, 2024, 16 (12)
  • [42] Smart regulation and efficiency energy system for street lighting with LoRa LPWAN
    Sanchez-Sutil, F.
    Cano-Ortega, A.
    SUSTAINABLE CITIES AND SOCIETY, 2021, 70 (70)
  • [43] Intelligent Street Light System in Context of Smart Grid
    Khalil, Hafiz Bilal
    Abas, Naeem
    Rauf, Shoaib
    2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2017,
  • [44] The Street Lighting Integrated System Case Study, Control Scenarios, Energy Efficiency
    Ozadowicz, A.
    Grela, J.
    2014 IEEE EMERGING TECHNOLOGY AND FACTORY AUTOMATION (ETFA), 2014,
  • [45] An Internet of Things Framework for Control and Monitoring of Smart Public Lighting Systems: A Review
    Manyake, Moabi K.
    Mathaba, Tebello N. D.
    5TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, BIG DATA, COMPUTING AND DATA COMMUNICATION SYSTEMS (ICABCD2022), 2022,
  • [46] Streetlight Intelligent Remote Control System based on Wireless Communication
    Hernandez-Jayo, U.
    Angulo, I.
    Elejoste, M. P.
    Perallos, A.
    Chertudi, A.
    Moreno, A.
    2013 10TH INTERNATIONAL CONFERENCE ON REMOTE ENGINEERING AND VIRTUAL INSTRUMENTATION (REV), 2013,
  • [47] Smart City and Public Lighting
    Sanseverino, Eleonora Riva
    Scaccianoce, Gianluca
    Vaccaro, Valentina
    Zizzo, Gaetano
    Pennisi, Silvia
    2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015), 2015, : 665 - 670
  • [48] Minimizing Electricity Cost through Smart Lighting Control for Indoor Plant Factories
    Lork, Clement
    Cubillas, Michael
    Ng, Benny Kai Kiat
    Yuen, Chau
    Tan, Matthew
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 297 - 302
  • [49] Intelligent autonomous street lighting system based on weather forecast using LSTM
    Tukymbekov, Didar
    Saymbetov, Ahmet
    Nurgaliyev, Madiyar
    Kuttybay, Nurzhigit
    Dosymbetova, Gulbakhar
    Svanbayev, Yeldos
    ENERGY, 2021, 231
  • [50] Energy Efficient Smart Street Lighting System in Nagpur Smart City using IoT -A Case Study
    Prasad, Ruchika
    2020 FIFTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC), 2020, : 100 - 103