Research on the key technologies of indoor location cloud platform

LIU Xiao1 BEI Jinzhong1 LI Dehai1 CHEN Chong1,2 ZHAO Yazhi1,2 LIU Yi1,2 ZHANG Dazhong1,2

(1.Chinese Academy of Surveying & Mapping, Beijing, China 100036)
(2.Shandong University of Science and Technology, Qingdao, Shandong Province, China 266590)

【Abstract】Aiming at the common problems that indoor positioning is discontinuous and unavailable, this paper built a private cloud platform of location service and realized the key technology of indoor hybrid positioning. The research utilized hardware resource virtualization to implement dynamic deployment, elastic computing, and on-demand cloud computing services. A hybrid cloud positioning technique for beacon node correction and autonomous estimation of trajectories was proposed and improved the continuity and usability of indoor positioning with positioning accuracy of approximately 2 m. The research also utilized the microservices management scheduling technology and its cloud-push-service component to solve the bottleneck about the online service and data communication for large scale users. The public cloud software for location service and terminal application was developed. They integrated indoor map and hybrid cloud positioning service and realized the cloud service of indoor location.

【Keywords】 cloud platform; indoor hybrid positioning; beacon node correction; autonomous estimation of trajectories; location service;

【Funds】 National Key Research and Development Program (2016YFB0502105, 2016YFB0502101)

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This Article

ISSN:1009-2307

CN: 11-4415/P

Vol 44, No. 06, Pages 79-83+144

June 2019

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Article Outline

Abstract

  • 0 Introduction
  • 1 Construction of indoor positioning cloud platform
  • 2 Key technology of indoor hybrid cloud positioning
  • 3 Platform application and indoor positioning test
  • 4 Conclusion
  • References