计算机应用 ›› 2014, Vol. 34 ›› Issue (9): 2747-2751.DOI: 10.11772/j.issn.1001-9081.2014.09.2747

• 行业与领域应用 • 上一篇    下一篇

基于信息融合的多Agent智能家居系统

王良周,于卫红,黄广超   

  1. 大连海事大学 交通运输管理学院,辽宁 大连 116026
  • 收稿日期:2014-04-08 修回日期:2014-05-26 出版日期:2014-09-01 发布日期:2014-09-30
  • 通讯作者: 王良周
  • 作者简介: 
    王良周(1989-),男,云南曲靖人,硕士研究生,主要研究方向:多Agent系统、信息融合、智能家居;
    于卫红(1972-),女,辽宁大连人,副教授,博士,主要研究方向:多Agent系统、Android开发、无线传感器网络;
    黄广超(1993-),男,江苏南京人,主要研究方向:面向对象设计模式、电子商务。

Multi-Agent system with information fusion for smart home

WANG Liangzhou,YU Weihong,HUANG Guangchao   

  1. College of Transportation Management, Dalian Maritime University, Dalian Liaoning 116026, China
  • Received:2014-04-08 Revised:2014-05-26 Online:2014-09-01 Published:2014-09-30
  • Contact: WANG Liangzhou

摘要:

绿色智能的家居控制需要复杂的系统和多源的信息。为了进一步提高家居系统的协同性,充分利用多源的决策信息,设计了一种基于多源信息融合的多Agent智能家居系统。研究了系统的框架和各个Agent的功能和交互机制;提出了一个基于自适应神经模糊推理系统(ANFIS)的多源信息融合模型,使用ANFIS算法对家居环境进行特征提取和用户行为学习;利用Android的轻量级嵌入式Jade Agent平台和Matlab对模型进行仿真。理论分析和仿真实验表明,该模型能够提高家居系统的协同交互性,提高家居系统多源数据融合的有效性。

Abstract:

A smart and green home is a dynamic large-scale system with high complexity and a huge amount of information. In order to further improve coordination between subsystems and make the best of multi-source information for the smart home, a multi-Agent intelligent home system based on multi-source information fusion was designed. The framework and interaction mechanisms of Agent were introduced and a multi-source information fusion model based on Adaptive Neural-network-based Fuzzy Interference System (ANFIS) was put forward to conduct the feature extraction and learn occupant's personal behavior. A simulation platform using lightweight embedded Jade Agent on Android and Matlab on personal computer was developed to control the natural lighting system in smart home. The theoretical analysis and the simulation results show that the model can improve synergistic interaction of home systems, and finally enhance the efficiency of multi-source information fusion in decision making process.

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