Design and Implementation of Cloud Positioning System for Massive Intelligent Terminals

被引：0
|
作者：
Zhang C. [1 ]
Yang L. [1 ]
Liu M. [1 ]
Li W. [1 ]
Jia H. [1 ]
Jiang F. [1 ]
Li C. [1 ]
机构：
[1] Beijing Baidu Netcom Science and Technology Co. Ltd, Beijing
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2021年 / 46卷 / 12期
关键词：
Cloud positioning; Distributed service; Fused positioning; Mass users; Smart terminal;
D O I：
10.13203/j.whugis20210249
中图分类号：
学科分类号：
摘要：
Objectives: With the popularity of mobile devices and low‑cost sensors,the universal positioning capability of mobile terminals has become a strong demand. In order to build a universally available cloud positioning system, it is necessary to use various positioning sensors in smart terminals to obtain wireless signals, and search in the positioning database to complete the calculation of the position. Methods: In light of smart phone devices in location based service(LBS) scenarios, we focus on location service for massive smart phone devices and put forward the cloud computing network architecture. The breakthroughs on key engineering technologies such as hierarchical cloud positioning capabilities, low⁃cost access for developers, fault tolerance strategy and distributed positioning services are gained. Results: The testing result shows that cloud positioning system has realized the access processing capability of hundreds of billions of requests per day. Conclusions: Consequently, the system can provide location services for hundreds of millions of users and can be widely used in various location based applications. © 2021, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.
引用
收藏
页码：1872 / 1880
页数：8
相关论文
共 15 条
  • [1] Yang Y X, Liu L, Li J L, Et al., Featured Services and Performance of BDS‑3, Science Bulletin, 66, 20, (2021)
  • [2] Deng Zhongliang, Yin Lu, Tang Shihao, Et al., A Survey of Key Technology for Indoor Positioning, Navigation Positioning and Timing, 5, 3, pp. 14-23, (2018)
  • [3] Shi Chuang, Zhang Hongping, Gu Shengfeng, Et al., Technology of Cloud Positioning and Its Platform for Positioning Service, Geomatics and Information Science of Wuhan University, 40, 8, pp. 995-999, (2015)
  • [4] Liu Xiao, Bei Jinzhong, Li Dehai, Et al., Research on the Key Technologies of Indoor Location Cloud Platform, Science of Surveying and Mapping, 44, 6, pp. 79-83, (2019)
  • [5] Chen Ruizhi, Chen Liang, Indoor Positioning with Smartphones: The State‑of‑the‑Art and the Challenges, Acta Geodaetica et Cartographica Sinica, 46, 10, (2017)
  • [6] Liu Cheng, Research and Development Status of LBS Positioning Technology, Journal of Navigation and Positioning, 1, 1, (2013)
  • [7] Martin R C., Clean Architecture:A Craftsman's Guide to Software Structure and Design, (2017)
  • [8] Liu Changzheng, Li Wei, Ding Chen, Et al., An Overview of Location‑Based Services:Building LBS System Based on Multiple Location Technologies, Geomatics World, 10, 3, pp. 24-27, (2003)
  • [9] Wang Zhanfeng, Feng Jing, Xing Changyou, Et al., Research on the IP Geolocation Technology, Journal of Software, 25, 7, (2014)
  • [10] Bahl P, Padmanabhan V N., RADAR: An In‑Building RF‑Based User Location and Tracking System, The 19th Annual Joint Conference of the IEEE Computer and Communications Societies, (2000)
12