Monitoring subsidence of open pit mine slope based on GNSS/CORS technology - case study at the Coc Sau open-pit coal mine

  • Affiliations:

    1 ThuyLoi University - Second campus, HoChiMinh City, Vietnam
    2 Hanoi University of Mining and Geology, Hanoi, Vietnam
    3 Dong Hai Surveying Company Limited, Vietnam

  • *Corresponding:
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  • Received: 15th-Jan-2024
  • Revised: 1st-May-2024
  • Accepted: 23rd-May-2024
  • Online: 1st-June-2024
Pages: 109 - 122
Views: 372
Downloads: 4
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Abstract:

Subsidence value is one of the important parameters to evaluate the stability of open pit mine slope. The subsidence is determined from height values measured at different times using different methods and equipment. When applying GNSS/CORS technology to monitor displacement, landslides, ground subsidence or structures, a specialized monitoring system is needed to ensure the necessary accuracy. This article presents the results of research on subsidence monitoring of open pit mine slope based on CORS technology and a self-developed GNSS receiver. The CORS station is set up with Trimble's Zyphir 2 Geodetic antenna and Stonex GNSS receiver located in Cam Pha city, Quang Ninh. The GNSS receiver for monitoring station is designed and developed based on the Trimble's GNSS BD970 board and integrated with a 4G wifi modem, allowing the transmission of monitoring data in standard NMEA0183 format to the CORS station's host computer. Decoded monitoring data and error filtering have improved the accuracy of height determination achieved at the mm level. Results of simulation experiments and experiments with actual monitoring data at Coc Sau coal mine, Cam Pha, Quang Ninh have proven the effectiveness and reliability of the method. With simulated experimental monitoring results, it shows that the largest subsidence difference is 16 mm and the smallest is 6 mm.

How to Cite
Nguyen, H.Van, Pham, K.Cong, Vo, D.Ngoc, Dinh, T.Thanh and Pham, C.Van 2024. Monitoring subsidence of open pit mine slope based on GNSS/CORS technology - case study at the Coc Sau open-pit coal mine (in Vietnamese). Journal of Mining and Earth Sciences. 65, 3 (Jun, 2024), 109-122. DOI:https://doi.org/10.46326/JMES.2024.65(3).10.
References

Bao, S., Yuanhao, H., Li, W., Qin, Z., Xinrui, L., Xuanyu, Q., Guanwen, H., Wei, Q. (2023). Real-time high-precision landslide displacement monitoring based on a GNSS CORS network. Measurement 217, 113056.

Bian, H. F., Zhang, S. B., Zhang, Q. Z., and Zheng, N. S. (2014). Monitoring large-area mining subsidence by GNSS based on IGS stations. Transactions of Nonferrous Metals Society of China, 24(2). 514-519.

Gao, J. X., Hu, H,. (2009). Advanced GNSS technology of mining deformation monitoring. Procedia Earth and Planetary Science 1, 1081-1088.

Hoàng, N. H và Trương, Q. H. (2003). Cơ sở toán học xử lý số liệu trắc địa. Nhà xuất bản Giao thông vận tải, Hà Nội.

https://oemgnss.trimble.com/productsupport/trimble-bd970-receiver-module-support/.

Hwang, J., Yun, H., Park, S. K., Lee, D., Hong, S. (2012). Optimal methods of RTK-GPS/Accelerometer integration to monitor the displacement of structures. Sensors 12, 1014-1034.

Jinsang, H., Hongsik, Y., Yongcheol, S., Jeongho, C., Dongha, L. (2012). Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones. Sensors 12, 12988-13001; doi:10.3390/s12 1012988.

Khoo, V. H., Tor, Y. K., and Ong, G. (2010, April). Monitoring of high rise building using real-time differential GPS. In Proceedings of FIG Congress-Facing the Challenges–Building the Capacity, Sydney, Australia.

Lee, H. K. (2010). An integration of GPS with INS sensors for precise long-baseline kinematic positioning. Sensors 10, 9424-9438.

Liu, C., Zhou, F., Gao, J., Wang, J. (2012). Some problems of GPS RTK technique application to mining subsidence monitoring. International Journal of Mining Science and Technology, Volume 22, Issue 2, March 2012, Pages 223-228.

Nan, S., Liang, C., Ruizhi, C. (2022). Displacement detection based on Bayesian inference from GNSS kinematic positioning for deformation monitoring. Mechanical Systems and Signal Processing 167, 108570.

National Marine Electronics Association: http://www.nmea.org.

Phạm C. K. (chủ nhiệm) (2023). Nghiên cứu thiết kế, chế tạo hệ thống quan trắc chuyển dịch công trình theo thời gian thực trên địa bàn Thành phố Hà Nội. Báo cáo tổng hợp kết quả nghiên cứu đề tài cấp thành phố, mã số 01C-01/02-2020-3. Sở Khoa học và Công nghệ Hà Nội, 289 trang.

Pham, C. K., Nguyen, G. T., Nguyen, V. H., Tran T. X. (2021). Research and Development of Real-time High-precision GNSS Receivers: A Feasible Application for Surveying and Mapping in Vietnam. Journal of the Polish Mineral Engineering Society, Page 391-404. DOI.org/10.29227/IM-2021-02-36.

Pham, C. K., Tran, d. T., Nguyen, V. H. (2020). GNSS/CORS-Based Technology for Real-Time Monitoring of Landslides on Waste Dump - A Case Study at the Deo Nai South Dump, Vietnam. Journal of the Polish Mineral Engineering Society, Page 181-189. DOI.org/ 10.29227/IM-2020-02-23.

Quesada-Olmo, N., Jimenez-Martinez, M. J., Farjas-Abadia, M. (2018). Real-time high-rise building monitoring system using global navigation satellite system technology. Measurement, 123, 115-124.

Takasu, T., Yasuda, A. (2008, November). Evaluation of RTK-GPS performance with low-cost single-frequency GPS receivers. In Proceedings of international symposium on GPS/GNSS (pp. 852-861).

Trajkovski, K. K., Sterle, O., Stopar, B. (2010). Study positioning with high sensitivity GPS sensors under adverse conditions. Sensors 10, 8332-8347.

Wan, A., Aziz, W. M. A., Shu, K. K., Zulkarnaini M. A. (2012). High Rise Building Deformation Monitoring With GPS. Department of Geomatic Enginnering Faculty of Geoinformation Science and Engineering University Teknologi Malaysia, 81310 Skudai, Johor Malaysia.

Wang, J., Peng X., Xu, C. H. (2011). Coal mining GPS subsidence monitoring technology and its application. China Mining Science and Technology, Volume 21, Issue 4, July 2011, Pages 463-467.

Wang, P., Liu, H., Nie, G., Yang, Z., Wu, J., Qian, C., and Shu, B. (2022). Performance evaluation of a real-time high-precision landslide displacement detection algorithm based on GNSS virtual reference station technology. Measurement, 199, 111457.

Wisniewski, B., Bruniecki, K., Moszyński, M. (2013). Evaluation of RTKLIB's Positioning Accuracy Usingn low-cost GNSS Receiver and ASG-EUPOS. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 7(1), 79-85.

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