一种智能办公环境无线网络系统的研究

Research on a Wireless Network System in the Intelligent Office Environment

目前,国内建筑中的网络主要以有线形式为主,安装麻烦、不易扩展。为了提高建筑环境控制的智能性,提供一个舒适、节能的办公环境,本文研究了智能办公环境的无线网络系统的构建问题,提出了一种基于多智能体(Agent)技术、ZigBee无线网络技术、模糊Q学习算法的无线网络系统。设计了系统的网络结构和多Agent系统模型,分析了模型中各种Agent的设计和通信方法,给出了系统的软硬件平台设计方案。最后进行了实验分析,验证了引入多Agent模糊Q学习加快了系统学习进程。另外设计了测试方案进行系统网络性能测试,测试结果表明该网络系统的丢包率较低。因此,系统具有可应用性。

The currently network in the domestic const to extend, therefore, in order to improve the intelligence of vide a comfortable, energy-efficient office environment, the ru co ction is installed by wires,which is not ntrolling the building environment, and problem of the wireless network system easy pro- construction in the intelligent office environment is studied and a wireless network system is proposed based on the multi- Agent technology, the ZigBee technology and the fuzzy Q-learning algorithm. The system network structure and the multi-Agent system model are designed, and then the design and communication methods of each Agent are analyzed, and both the system hardware and software platforms are designed. Finally,the experiments are carried on. On the one hand, we verify that whether multi-Agent fuzzy Q learning can speed up the learning process or notion the other hand,a program for system network performance test is designed and the test results show that the network packet loss rate is low. Therefore, the system can be applied.