计算机应用 ›› 2012, Vol. 32 ›› Issue (07): 1831-1835.DOI: 10.3724/SP.J.1087.2012.01831

• 网络与通信 • 上一篇    下一篇

滑坡监测的无线传感器网络定位系统设计

王波,李文田,梅倩   

  1. 重庆大学 计算机学院,重庆400044
  • 收稿日期:2012-01-09 修回日期:2012-03-07 发布日期:2012-07-05 出版日期:2012-07-01
  • 通讯作者: 王波
  • 作者简介:王波(1960-),男,辽宁丹东人,副教授,主要研究方向:建筑与城市智能化、物联网、网络安全;李文田(1987-),男,山东潍坊人,硕士研究生,主要研究方向:物联网;梅倩(1987-),女,湖北荆州人,硕士研究生,主要研究方向:物联网。
  • 基金资助:

    国家科技重大专项(2008ZX07315-001);中央高校研究生科技创新基金资助项目(CDJXS11180012)

Location system design based on wireless sensor network for landslide monitoring

WANG Bo,LI Wen-tian,MEI Qian   

  1. College of Computer Science, Chongqing University, Chongqing 400044, China
  • Received:2012-01-09 Revised:2012-03-07 Online:2012-07-05 Published:2012-07-01
  • Contact: WANG Bo
  • Supported by:

    Graduate Innovation Fundation of Central Universities

摘要: 为解决目前滑坡监测系统普遍存在的工程造价高、自动化程度低、施工不便等问题,研究设计了一种无线远程滑坡监测系统。该系统使用ZigBee无线电定位技术取代各种滑坡传感器来获取滑坡地表位移信息,通过通用无线分组服务(GPRS)进行数据远程传输,可实现滑坡状况的远程自动监测。在改进现有接收信号场强指示(RSSI)定位算法基础上,进行了系统架构和软硬件的研究设计,并利用OPNET及Matlab对系统方案进行了模拟实验,在10m×15m测试区域内,该系统平均定位误差为1.39m,误差波动小于0.5m。研究与实验结果表明:所研发的系统在监测现场无需任何一次检测仪表,显著降低了滑坡监测系统成本,具有工程造价低、施工难度小和自动化程度高的特点。

关键词: 滑坡监测, ZigBee, 无线传感器网络, 物联网, 接收信号场强指示, 定位算法

Abstract: To solve such problems as high cost, low automation and not-easy installation of the existing landslide monitoring system, a wireless remote landslide monitoring system was designed. In this system, landslide information was obtained by ZigBee location technology rather than landslide sensors and monitoring data was transmitted by General Packet Radio Service (GPRS) to the data center. Therefore, the landslide could be monitored remotely and automatically. The design plan of the system structure, software and hardware based on the improved Received Signal Strength Indicator (RSSI) location algorithm were introduced. A simulation experiment was done with a result of 1.39m error and 0.5m error fluctuation by OPENT and Matlab in 10m×15m testing area. The research and experimental results show that this system can reduce the cost of landslide monitoring system significantly without any sensors, and it has the properties of low cost, simple implementation procedure and high automation level.

Key words: landslide monitoring, ZigBee, Wireless Sensor Network (WSN), Internet of Things (IoT), Received Signal Strength Indicator (RSSI), location algorithm

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