测绘通报 ›› 2017, Vol. 0 ›› Issue (2): 54-59.doi: 10.13474/j.cnki.11-2246.2017.0048

• 学术研究 • 上一篇    下一篇

地磁室内定位基准图数据采集系统设计

黄鹤1,2, 赵焰1, 王春来3, 于广涛4   

  1. 1. 北京建筑大学, 北京 100044;
    2. 北京未来城市设计高精度创新中心, 北京 102616;
    3. 武警黄金第七支队, 山东 烟台 264000;
    4. 国核电力规划设计研究院, 北京 100092
  • 收稿日期:2016-06-27 出版日期:2017-02-25 发布日期:2017-03-01
  • 作者简介:黄鹤(1977-),男,博士,教授,研究方向为地球形状及重力场、室内导航定位技术及其应用等。E-mail:huanghe@bucea.edu.cn
  • 基金资助:

    2011年度校设科研基金(Z11063);北京市教委2013年度科技发展计划(KM201310016005);现代城市测绘国家测绘地理信息局重点实验室开放基金(20131201NZ)

Design of the Acquisition System of Indoor Positioning Reference Map Based on Magnetic Field Data

HUANG He1,2, ZHAO Yan1, WANG Chunlai3, YU Guangtao4   

  1. 1. Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
    2. Beijing Advanced Innovation Center for Future Urban Design, Beijing 102616, China;
    3. No. 7 Gold Geological Party of CAPF, Yantai 264000, China;
    4. State Nuclear Power Planning Design & Research Institute, Beijing 100092, China
  • Received:2016-06-27 Online:2017-02-25 Published:2017-03-01

摘要:

近年来,地磁作为室内定位基准已经成为热点研究领域。本文深入研究了地磁室内定位技术,并通过大量试验,分析了室内磁性材料及电子设备对磁场的干扰,进一步探究了室内磁场特性,证明了磁场信息作为定位依据的可行性;利用Arduino IDE研发了智能地磁数据采集平台,该平台搭载多种传感器,如HMC5983磁传感器和惯性导航传感器等,采集一定密度的室内地磁数据,利用克里金法对该地磁数据进行差值处理,生成2 cm间隔大小的栅格地磁图,作为室内定位基准图保存在数据库中。

关键词: 磁场, 室内定位, 数据采集平台, 克里金法, 地磁基准图

Abstract:

In recent years, as an indoor positioning benchmark, geomagnetism has become a hot research field. This paper deeply studied geomagnetic indoor positioning technology,analyzed the interference of the indoor magnetic materials and electronic equipment to the magnetic field by a large number of experiments, and explored the characteristics of indoor magnetic field to prove the feasibility of magnetic field information as a basis for positioning; developed a data acquisition platform for intelligent geomagnetism using Arduino IDE. The platform is equipped with a variety of sensors, such as the HMC5983 magnetic sensor, inertial navigation sensors and so on. We can use it to collect the geomagnetic data of a certain density, and use the Kriging method to process the difference of geomagnetic data. The final result is the generation of 2 cm interval of the size of the grid geomagnetic map to become the indoor positioning reference map stored in the database.

Key words: magnetic field, indoor positioning, data acquisition, Kriging method, geomagnetic reference map

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