基于知识图谱的Wi-Fi室内定位技术研究

李建东; 杨晶晶; 黄铭

doi:10.11959/j.issn.2096-3750.2022.00265

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基于知识图谱的Wi-Fi室内定位技术研究

智能无线定位与跟踪技术 | 更新时间：2024-06-05

- 基于知识图谱的Wi-Fi室内定位技术研究
- Research on Wi-Fi indoor positioning technology based on knowledge graph
- 物联网学报 2022年6卷第2期页码：19-25
- 作者机构：
  
  1. 云南大学信息学院，云南昆明 650504
  2. 云南大学无线创新实验室，云南昆明 650091
- 作者简介：
  
  [ "李建东（1995− ），男，云南大学信息学院硕士生，主要研究方向为无线定位技术" ]
  [ "杨晶晶（1983− ），女，博士，云南大学信息学院教授、博士生导师，主要研究方向为无线通信信号处理" ]
  [ "黄铭（1963− ），男，博士，云南大学信息学院教授、博士生导师，主要研究方向为电磁空间安全、无线电监测" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61963037);国家自然科学基金资助项目;The National Natural Science Foundation of China(61863035)
- DOI：10.11959/j.issn.2096-3750.2022.00265
  中图分类号： TN911.23
- 纸质出版日期：2022-06-30，
  
  网络出版日期：2022-06，
- 稿件说明：
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李建东, 杨晶晶, 黄铭. 基于知识图谱的Wi-Fi室内定位技术研究[J]. 物联网学报, 2022,6(2):19-25.

JIANDONG LI, JINGJING YANG, MING HUANG. Research on Wi-Fi indoor positioning technology based on knowledge graph. [J]. Chinese journal on internet of things, 2022, 6(2): 19-25.
李建东, 杨晶晶, 黄铭. 基于知识图谱的Wi-Fi室内定位技术研究[J]. 物联网学报, 2022,6(2):19-25. DOI： 10.11959/j.issn.2096-3750.2022.00265.

JIANDONG LI, JINGJING YANG, MING HUANG. Research on Wi-Fi indoor positioning technology based on knowledge graph. [J]. Chinese journal on internet of things, 2022, 6(2): 19-25. DOI： 10.11959/j.issn.2096-3750.2022.00265.

摘要

在常见的Wi-Fi室内定位方法中，大部分研究聚焦于定位算法的精度，但是对于已有室内数据如何进行高效组织和处理，以实现室内位置服务的应用系统研究并不多。针对此类问题，将知识图谱与传统室内定位技术结合，并利用多种软件开发技术完整开发出实用的定位系统。融合了物理空间和信息空间，信息空间包含室内信息获取、云端服务、信息存储及计算部分，物理空间表达了室内空间结构及其数据关系。最后，通过WEBGL（web graphics library）技术进行直观的定位展示，以实现室内信号数据和定位结果的可视化。系统拥有完备的数据存储和使用机制，对室内物联网设备的已有数据信息整合后便可以为用户提供房间级位置服务，并且系统的分步定位功能有助于减少系统运算耗时。

Abstract

Among the common Wi-Fi indoor positioning methods

most of the research focuses on the positioning accuracy

a little is on the application system to organize and process the existing indoor data efficiently in order to realize the indoor location service.To deal with these issues

the knowledge graph with the traditional indoor positioning technology was combined

and a practical positioning system was built with a variety of software development technologies.The system integrates the physical space and the information space.The information space includes indoor information acquisition

cloud services

information storage and computing parts.The physical space expresses the structure of the indoor space and data relationships.Finally

the WEBGL technology was used to display intuitive positioning and realize the visualization of indoor signal data and positioning results.The system has a complete data storage and use mechanism.After integrating the existing data information of the indoor internet of things equipment

it can provide users with room-level location services.The step-by-step positioning function of the system helps to reduce the time consumption of the system.

关键词

知识图谱Wi-Fi定位三维可视化位置指纹异步采集

Keywords

knowledge graphWi-Fi positioningthree-dimensional visualizationocation fingerprintasynchronous detection

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