一种智能办公环境无线网络系统的研究

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。

Research on a Wireless Network System in the Intelligent Office Environment

The currently network in the domestic construction is installed by wires , which is not easy to extend , therefore , in order to improve the intelligence of controlling the building environment , and provide a comfortable , energy-efficient office environment , the problem of the wireless network system 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 not ; on the other hand , aprogram 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.