High-precision Positioning and Deformation Monitoring Analysis of BD/GPS Based on Improved Kalman Filter Fusion
-
Xiulin Qiu
,
Qinghua Liu
Abstract
The real time kinematic of global positioning system (GPS-RTK) provides precise positioning for bridge deformation monitoring and monitoring bridge health status. In order to solve the problem that the satellite signal is vulnerable to the influence of the positioning environment when monitoring bridges in the valleys and urban buildings[1], and the problem that Kalman fusion algorithm is difficult to detect the divergence caused by interruption or wrong data[2]. This paper proposes an improved Kalman filter fusion position method based on the BD/GPS fusion positioning. This improved algorithm introduces the environmental information. The confidence level is calculated with membership function by defining the confidence region of sensor, so as to the fusion weight coefficient is determined. This paper analyzes the performance of BD/GPS positioning in bridge monitoring through comparing the traditional fusion method with the improved fusion method. Experiments show that the improved algorithm eliminates the problem of error divergence; the average number of visible satellites in BD/GPS fusion positioning is increased by 7 compared with that of GPS single system positioning, the GDOP value is reduced by 21.83%, and the positioning error is reduced by 2.51 cm. The feasibility of all-weather monitoring in the mountains, buildings and other areas is verified, and millimeter accuracy is provided, which greatly improves the performance of bridge deformation monitoring.
Supported by Supported by the National High Technology Research and Development Program (“863” Program) of China (2013AA12A206)
References
[1] Peng Z Z, Li Q X, Xu Z Q, et al. Beidou and GPS integrated high precision positioning and monitoring analysis of bridges. Tropical Geography, 2016, 36(4): 717–726.Search in Google Scholar
[2] Li Z K, Wang J, Gao J X, et al. A method to prevent GPS/INS integrated navigation filtering divergence based on SVM. Journal of Wuhan University (Information Science Edition), 2013, 38(10): 1216–1220.Search in Google Scholar
[3] Zhu Y, Cheng Y, Zhang Y F, et al. GPS-based real-time dynamic monitoring system for Long Span Bridge. Modern Transportation technology, 2010, 7(3): 48–51.Search in Google Scholar
[4] Qi D C, Zhang Y S, Li Q. Causes and Countermeasures of midspan deflection of long-span continuous rigid frame bridge. Journal of Chongqing Jiaotong University (Natural Science), 2007, 26(6): 46–49.Search in Google Scholar
[5] Jin X H. Ground-based radarapplication in bridge micro-deformation monitoring. Southeast University, 2015.Search in Google Scholar
[6] Roberts G W, Ashkenazi V. Experimental monitoring of the Humber Bridge using GPS. Civil Engineering, 1997, 120(4): 177–182.Search in Google Scholar
[7] Ashkenazi V, Brown C J, Roberts G W, et al. Monitoring of structures using the global positioning system. Structures & Buildings, 1999, 134(1): 97–105.Search in Google Scholar
[8] Fujino Y. Monitoring system of the Akashi Kaikyo Bridge and displacement measurement using GPS. Proceedings of SPIE — The International Society for Optical Engineering, 2000: 229–236.10.1117/12.387814Search in Google Scholar
[9] Wong K Y, Man K L, Chan W Y. Real-time kinematic spans the gap. Gps World, 2001.Search in Google Scholar
[10] Guo J, Xu L, Dai L, et al. Application of the real-time kinematic global positioning system in bridge safety monitoring. Journal of Bridge Engineering, 2005, 10(2): 163–168.10.1061/(ASCE)1084-0702(2005)10:2(163)Search in Google Scholar
[11] Jiang J J, Guo J J, Lu X Z. Study on real-time monitoring for large-scale bridges using GPS. Annual Meeting of Chinese Civil Engineering Society, 2000.Search in Google Scholar
[12] Yang B N. The research of GPS RTK monitoring technology based on pylon of SuTong bridge. Hohai University, 2007.Search in Google Scholar
[13] Kaloop M R, Li H. Monitoring of bridge deformation using GPS technique. Ksce Journal of Civil Engineering, 2009, 13(6): 423–431.10.1007/s12205-009-0423-ySearch in Google Scholar
[14] Li D T. Research on GPS/BD-II integrated positioning technology. Harbin Engineering University, 2013.Search in Google Scholar
[15] Cong L, Du Q S, Dou Z, et al. Research on electric power tower deformation monitoring technique using real time kinematic (RTK) method based on Beidou navigation satellite system. Electric Power Information and Communication Technology, 2015(12): 24–29.Search in Google Scholar
[16] Teunissen P J G. A new method for fast carrier phase ambiguity estimation. Position Location and Navigation Symposium, IEEE Xplore, 1994: 562–573.Search in Google Scholar
© 2019 Walter De Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Education for Sustainability: Lessons from Living Systems Governance
- Interval-Valued Dual Hesitant Fuzzy Hamacher Aggregation Operators for Multiple Attribute Decision Making
- A Global Seamless Hybrid Constellation Design Approach with Restricted Ground Supporting for Space Information Network
- High-precision Positioning and Deformation Monitoring Analysis of BD/GPS Based on Improved Kalman Filter Fusion
- Optimal Decision-Making of Low-Carbon Supply Chain Incorporating Fairness Concerns
Articles in the same Issue
- Education for Sustainability: Lessons from Living Systems Governance
- Interval-Valued Dual Hesitant Fuzzy Hamacher Aggregation Operators for Multiple Attribute Decision Making
- A Global Seamless Hybrid Constellation Design Approach with Restricted Ground Supporting for Space Information Network
- High-precision Positioning and Deformation Monitoring Analysis of BD/GPS Based on Improved Kalman Filter Fusion
- Optimal Decision-Making of Low-Carbon Supply Chain Incorporating Fairness Concerns
