期刊文献+

基于无线传感网的气体扩散立体监测系统设计

Tridimensional wireless sensor network design for phosphorous gas monitoring
下载PDF
导出
摘要 针对气体在开放式空间扩散的问题,手机了基于无线传感网的气体扩散立体监测系统。监测系统由多个无线传感器节点和基站组成。低功耗设计的无线传感器节点具有无线通信、串行通信、GPS自定位、计算控制等功能,传感器节点之间通过MESH网络实现多跳组网通信。实时操作系统上运行的网络协议可提高系统运行的实时性和可靠性。系统上位机软件能够显示气体在三维空间中的扩散情况,并显示天气状况和节点的剩余电量信息。通过外场测试表明,该系统能够实时监测含磷气体扩散情况,为防止进一步造成较大的损失提供可靠的信息。 A tridimensional wireless sensor network system for monitoring phosphorous gas diffusion is proposed. Lower-power design and miniature nodes have functions of wireless communication, serial communication, GPS self-localization, computing and control. Nodes communicate through MESH multi-hop network. The network protocol is built on the real-time operating system to improve the reabtiming and reliability of system. The monitoring software, which run in PC operation system, can real-time display the spread situation of poisonous gas in the 3-D space, the weather conditions and the remaining power of nodes. The field test shows that this monitoring system can monitor the spread of phosphorous gas and provide reliable information to avoid greater loss.
出处 《计算机工程与设计》 CSCD 北大核心 2012年第8期2947-2950,3022,共5页 Computer Engineering and Design
基金 国家科技重大专项基金项目(2009ZX03006-001-02)
关键词 无线传感网 气体扩散立体监测 低功耗设计 MESH网络 能耗管理 tridimensional wireless sensor network poisonous gas monitoring MESH network low-power design power management
  • 相关文献

参考文献13

  • 1张帆,李文锋,宋威.无线传感器节点实时能耗监测[J].计算机工程与科学,2010,32(11):47-51. 被引量:6
  • 2Cerpa A, Elson J, Estrin D, et al. Habitat monitoring: Application driver for wireless communications technology [J]. ACM SIGCOMM Computer Communication Review, 2001, 31 (2): 20-41.
  • 3LI Y, WANG Z, SONG Y. Wireless sensor network design for wildfire monitoring [C]. Proceedings of the 6th World Congress on Intelligent Control and Automation, 2006: 109-113.
  • 4Werner Allen G, Lorincz K, Johnson J, et al. Fidelity and yield in a volcano monitoring sensor network [C]. Berkeley, CA, USA: USENIX Association, 2006: 381-396.
  • 5DING F, SONG G. , YIN K. , et al. A GPS-enabled wireless sensor network for monitoring radioactive materials [C]. Sensors and Actuators A: Physical, 2009, 155 (1): 210-215.
  • 6Gill K, YANG Shuanghua, YAO Fang, et al. A zigbee-based home automation system [C]. IEEE Transactions on Consumer Electronics, 2009, 55 (2): 422-430.
  • 7Spijkerboer H P, Beniers J E, Jaspers D, et al. Ability of the gaussian plume model to predict and describe spore dispersal over a potato crop [J]. Ecological Modelling, 2002, 155: 1-18.
  • 8Pullen J, Boris J P, Young T, et al. A comparison of contaminant plume statistics from a Gaussian puff and urban CFD model for two large cities [J]. Atmospheric Environment, 2005, 39 (6): 1049-1068.
  • 9Ian F Akyildiz, WANG Xudong, WANG Weilin. Wireless mesh networks: A survey[J]. Computer Networks, 2005, 47 (4) : 445-487.
  • 10Bianchi G, Fratta L, Oliveri M. Performance evaluation and enhancement of the CSMA/CA MAC protocol for 802. 11 wireless LANs [C]. Taipei:Seventh IEEE International Symposium: Personal, Indoor and Mobile Radio Communications, 1996: 15-18.

二级参考文献20

  • 1屈新芬,金春雨,聂文清.AD7705在电子秤中的应用[J].电子产品世界,2001,8(18):22-24. 被引量:9
  • 2Crossbow Technology Inc. MieaZ Wireless Measurement System[EB/OL]. [2010-04-12]. http://www, xbow. com. cn/ wsn/pdf/MICAz, pdf.
  • 3Crossbow Technology Inc. MICA2 Data Sheet [EB/OL]. [2010-04-12]. http://www, xbow. corn/Products/Product pdf_fles/Wireless_pdf/MICA2_Datasheet, pdf.
  • 4Polastre J, Szewczyk R, Culler D. Telos: Enabling Ultra-Low Power Wireless Research[C]//Proc of the 4th Int' l Conf on Information Processing in Sensor Networks: Special Track on Platform Tools and Design Methods for Network Embedded Sensors, 2005 : 364-369.
  • 5Moteiv Corporation. Telos (rev b) Datasheet [EB/OL]. [2010-04-20]. http://www, willow, co. uk/TelosB_Datasheet. pdf.
  • 6Naehman L, Kling R, Adler R, et al. The Intel Mote Platform.- A Bluetooth-Based Sensor Network for Industrial Monitoring[C]//Proc of the 4th Int' l Syrup on Information Processing in Sensor Networks, 2005:437-442.
  • 7Shnayder V, Hempstead M, Chen B, et al. Simulating the Power Consumption of Large-Scale Sensor Network Applications[C]//Proc of the 2nd Int'l Conf on Embedded Networked Sensor Systems, 2004:188-200.
  • 8Kramer M,Geraldy A. Energy Measurements for Micaz Node [R]. Technical Report KrGe06, University of Kaiserslautern, 2006.
  • 9Landsiedel O, Wehrle K, Otz S G. Accurate Prediction of Power Consumption in Sensor Networks[C],//Proc of the 2nd IEEE Workshop on Embedded Networked Sensors, 2005:37-44.
  • 10Lee C, Mok P. A Monolithic Current-Mode CMOS DC-DC Converter with on-Chip Current-Sensing Technique [J]. IEEE Journal of Solid-State Circuits, 2004, 39 (1) : 3-14.

共引文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部