期刊
INFORMATION SCIENCES
卷 372, 期 -, 页码 241-255出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2016.08.045
关键词
Light sensors; Intelligent systems; Distributed systems; Autonomous control; Street lighting
资金
- project Sociedades Humano-Agente en entornos Cloud Computing (Soha+C) [SA213U13]
- Junta Castilla y Leon funds
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.
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