基于知识图谱的Wi-Fi室内定位技术研究

doi:10.11959/j.issn.2096-3750.2022.00265

Abstract

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.

Key words: knowledge graph, Wi-Fi positioning, three-dimensional visualization, ocation fingerprint, asynchronous detection

CLC Number:

TN911.23

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.

Figures/Tables 10

References 24

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	相似度计算时长/s	加权近邻计算时长/s	时间和/s
分步计算前	0	2.623	2.623
分步计算后	0.033	0.809	0.842
时间差	-0.033	1.814	1.781

	C1	C2	C3C4	C5	C6
测试数量	20	40	4020	40	20
正确数量	17	37	3616	37	19
预测精度	85.%	92.5%	90.%80.0%	92.5%	95%
平均精度			89.17%

Research on Wi-Fi indoor positioning technology based on knowledge graph

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