无线传感器网络环境监测系统设计与实现
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Design and implement of wireless sensor network for greenhouse environmental monitoring system
  • 作者:马荣华 ; 欧阳缮 ; 王鲁豫 ; 张晨华
  • 英文作者:MA Ronghua;OUYANG Shan;WANG Luyu;ZHANG Chenhua;School of Information and Communication, Guilin University of Electronic Technology;
  • 关键词:环境监测 ; 高可靠性 ; 虚拟力算法 ; 网络覆盖率
  • 英文关键词:environmental monitoring;;high reliability;;virtual force algorithm;;network coverage
  • 中文刊名:GLDZ
  • 英文刊名:Journal of Guilin University of Electronic Technology
  • 机构:桂林电子科技大学信息与通信学院;
  • 出版日期:2019-06-14 15:37
  • 出版单位:桂林电子科技大学学报
  • 年:2019
  • 期:v.39;No.160
  • 基金:国家自然科学基金(61871425)
  • 语种:中文;
  • 页:GLDZ201901008
  • 页数:7
  • CN:01
  • ISSN:45-1351/TN
  • 分类号:45-51
摘要
针对洁净厂房环境监测系统存在的扩展性差、智能化程度低等问题,提出一个基于ZigBee无线传感器网络的洁净厂房环境监测系统。该系统设计了传感器模块、ZigBee组网模块、网关模块、安卓APP监测界面,研究了系统采集数据的准确性以及无线传感器网络覆盖率,对传感器模块采集的环境数据进行滤波处理,采用改进的虚拟力算法对组网模块布局进行优化,最后对系统进行了测试实验。实验结果表明,该系统实现了远程监测温湿度、气压、PM2.5数据,且监测数据真实可靠,改进的虚拟力算法提高了无线传感器网络覆盖率。该系统可以广泛应用于各种环境监测领域。
        Aiming at the problems of poor expansion and low intelligence in the environmental monitoring system of clean workshop, a new environmental monitoring system is proposed. The sensor module, ZigBee networking module, gateway module and Android APP monitoring interface are designed and implemented. The accuracy of the data collected by the system and the coverage rate of wireless sensor network are studied. The environment data collected by the sensor module is filtered and the improved virtual force algorithm is used to optimize the layout of the networking module. Finally, the test experiment is carried out on the system. The results show that the system can realize the remote monitoring of temperature, humidity, air pressure, PM2.5 data, and the data is true and reliable, the improved virtual force algorithm can effectively improve the coverage of wireless sensor networks. The system can be widely applied to various environmental monitoring areas.
引文
[1] 李文东,支国强,李田富.制药厂GMP洁净厂房空调通风要求与粉尘污染物排放环境管理[J].环境科学导刊,2016,35(增刊1):179-180.
    [2] 沈益辉,秦会斌.基于Zigbee无线传感器网络的环境监测系统设计[J].软件导刊,2017,16(12):102-105.
    [3] 王文虎.基于ZigBee的室内空气质量监测系统研究[D].上海:华东理工大学,2012:44-45.
    [4] 薛冰心.基于无线传感器网络的室内环境监测系统的设计和实现[D].武汉:华中师范大学,2016:33-36.
    [5] 项新建.基于多传感器数据融合的粮食仓库温度监测系统[J].仪器仪表学报,2003(5):525-527.
    [6] 李安超,陈桂芬.能量异构无线传感器网络分簇路由改进算法[J].传感技术学报,2017,30(11):1712-1718.
    [7] ZOU Y,CHAKRABARTY K.Sensor deployment and target localization based on virtual forces[C]//Joint Conference of the IEEE Computer and Commun-ications.USA:IEEE Societies,2003:1293-1303.
    [8] YI Z,CHAKRABARTY K.Sensor deployment and target localization in distributed sensor networks[J].Acm Transactions on Embedded Computing Systems,2004,3(1):61-91.
    [9] 张玉堂,邓鲁华,宗光华.改进的虚拟力场移动机器人避障算法[J].工业控制计算机,2007(5):26-27.
    [10] 伍灵杰.数据采集系统中数字滤波算法的研究[D].北京:北京林业大学,2010:8-22.
    [11] 李明,石为人.虚拟力导向差分算法的异构移动传感网络覆盖策略[J].仪器仪表学报,2011,32(5):1043-1050.
    [12] 李湘宜.无线传感器网络动态覆盖优化问题的研究[D].北京:北京交通大学,2015:38-41.