Application of Space–Sky–Earth Integration Technology with UAVs in Risk Identification of Tailings Ponds

Author:

Zhang Hong12,Li Quanming2,Wang Jiachen1,Fu Botao3,Duan Zhijie2,Zhao Ziyun4

Affiliation:

1. School of Energy and Mining, China University of Mining and Technology-Beijing, Beijing 100083, China

2. School of Civil Engineering, North China University of Technology, Beijing 100144, China

3. China Academy of Safety Science and Technology, Beijing 100012, China

4. School of Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Abstract

Unmanned aerial vehicle (UAV) tilt photography technology has gradually become a new technical means of disaster risk identification. This technology combines UAVs, satellite remote sensing, and ground online monitoring systems to establish an integrated space–sky–Earth system that can be used for tailings pond risk identification. With the use of this system for visual interpretation, water body identification, and monitoring data analysis, multiple types of monitoring parameters of a typical tailings pond in China, such as the seepage line and surface deformation, were obtained. Moreover, intelligent fusion analysis was performed of multisource data to outline the problems affecting tailings safety in the process of elevation expansion and irregular ore discharge of the tailings pond. Warning values of different levels were obtained to assess the overall safety condition of the tailings pond, and the proposed technology was verified. The research results could provide a new basis for accurate evaluation of the running state of tailings ponds and offer an effective remote monitoring means for tailings pond enterprises and supervisory departments.

Funder

National Key Research and Development Program of China

National Natural Science Fund of China

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference60 articles.

1. Research progress on deposition structure characteristics and performance evolution law of tailings dam;Li;J. Saf. Sci. Technol.,2022

2. Geohazard and risk assessment for tailing reservoir;Lin;J. Guilin Univ. Technol.,2006

3. Comparison Analysis of Safety Management of Tailings Ponds Life Cycle in China and Australia;Li;Mod. Min.,2016

4. Scientific interpretation of xiangfen tailings pond dam break event;Chen;Knowl. Is Power,2008

5. Robertson, P.K., de Melo, L., Williams, D.J., and Wilson, G.W. (2019). Report of the Expert Panel on the Technical Causes of the Failure of Fundão Dam Ⅰ. Prep. Val. Ltd., Available online: http://www.b1technicalinvestigation.com/report.html.

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