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金属矿山 ›› 2012, Vol. 41 ›› Issue (09): 99-102.

• 机电与自动化 • 上一篇    下一篇

基于WiFi技术的井下人员定位系统研究

张鹤丹,卢才武   

  1. 西安建筑科技大学理学院
  • 出版日期:2012-09-15 发布日期:2012-10-09
  • 基金资助:

    * 陕西省自然科学青年基金项目(编号:2011JQ7016),西安建筑科技大学科技人才基金项目(编号:RC1025)。

Research of Underground Personnel Positioning System based on the WiFi Technology

Zhang Hedan,Lu Caiwu   

  1. College of Science, Xi`an University of Architecture and Technology
  • Online:2012-09-15 Published:2012-10-09

摘要: 为优化井下生产管理,增强井下作业安全性,提高人员定位精度,通过比较几种主流无线定位技术,利用WiFi技术传输距离远、定位准、传输快等特点,研究并搭建了一种基于WiFi技术的井下人员定位系统。采用指纹识别定位算法进行离线训练和在线定位,选取欧几里德距离公式进行位置计算。实验证明该定位系统是可行的,定位误差小于5 m,有效地提高了定位精度。  

关键词: 人员定位, WiFi技术, 指纹识别

Abstract: In order to optimize the underground mine management, enhance the security of underground work, and improve the personnel positioning accuracy, a underground personnel positioning system based on the WiFi technology with the fast transmission speed, long effective distance and high reliability is built after comparing with several kinds of major wireless location technology.The off-line training and on-line positioning was made with the algorithm for fingerprint recognition, and the position calculation was done with Euclidean distance formula.Experiments prove that this system is feasible and the positioning accuracy is improved effectively with positioning error less than 5 m.

Key words: Personnel positioning, WiFi technology, Fingerprint identification