基于信息素理论的智能家电系统的研究  

Ant colony algorithm-based algorithms intelligent system for home appliances

作　　者：王翠茹[1] 李阳[1] 王思艳[1] 

机构地区：[1]华北电力大学计算机科学与技术学院,河北保定071003

出　　处：《微计算机信息》2009年第28期13-14,34,共3页Control & Automation

摘　　要：本文对基于信息素理论的智能自动化家电系统进行了分析研究。首次将蚁群算法的信息素理论应用于智能自动化家电系统的智能学习中,智能系统经过一段时间的使用以后,能够准确判断用户的操作习惯,自动向用户提示应进行的操作。此外,智能系统采用GSM和蓝牙两种通讯方式,用户可以远程控制家庭的电器电子设备。这种基于信息素浓度的智能学习系统大大提高了智能控制的准确性、有效性。In this paper, we analysis and research the intelligence home appliance based on pheromones theory. For the first time the theory of the pheromones of the ant colony algorithm used in intelligent learning of the Intelligence home appliance System. After a period of use, the system can accurately determine the user＇s operation, and suggest what user should to do automatically？and accurately. Besides, the system uses two types of communication as GSM and Bluetooth, so users can remotely control the family of Electrical and Electronic Equipment. This concentration of pheromone-based intelligent learning system has greatly enhanced the effectiveness and accuracy of the intelligence control.

关 键 词：蚁群算法 信息素 智能家电系统 串口通讯 蓝牙通讯 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]