Research on Real-Time Monitoring and Warning Technology for Multi-Parameter Underground Debris Flow
Qingtian Zeng,
Sitao Zhu (),
Zhengrong Li,
Aixiang Wu,
Meng Wang,
Yan Su,
Shaoyong Wang,
Xiaocheng Qu and
Ming Feng
Additional contact information
Qingtian Zeng: Yunnan Diqing Nonferrous Metals Co., Ltd., Diqing 674400, China
Sitao Zhu: School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Zhengrong Li: Yunnan Diqing Nonferrous Metals Co., Ltd., Diqing 674400, China
Aixiang Wu: School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Meng Wang: School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Yan Su: Yunnan Diqing Nonferrous Metals Co., Ltd., Diqing 674400, China
Shaoyong Wang: Beijing Anke Xingye Technology Co., Ltd., Beijing 100083, China
Xiaocheng Qu: Beijing Anke Xingye Technology Co., Ltd., Beijing 100083, China
Ming Feng: Beijing Anke Xingye Technology Co., Ltd., Beijing 100083, China
Sustainability, 2023, vol. 15, issue 20, 1-20
Abstract:
Sudden debris flows in underground mines are characterized by strong burstiness, great destructiveness, and difficult monitoring. Traditional single monitoring methods can only roughly judge the probability of underground debris flow occurrences through one-sided potential phenomena, making it difficult to accurately predict sudden underground debris flows. Therefore, effective monitoring methods can prevent or reduce waste and damage to mineral resources caused by mine debris flow disasters. This study is based on the theoretical foundations of rainfall automatic identification program, unsteady flow theory, and wavelet threshold denoising theory. It preprocesses key data such as rainfall, groundwater, and surface displacement with the aim of reducing criterion errors and improving the accuracy of determination. By utilizing the underground debris flow warning determination program, warning determination algorithm, and information management system hosted on the monitoring and warning platform, a comprehensive underground debris flow warning system is integrated. This system incorporates determining parameters such as rainfall, water inflow, groundwater level, surface subsidence, pore water pressure, surrounding rock stress, microseismic phenomena, and underground video recognition, with the innovative approach of “weather-surface-underground” multi-directional monitoring. The system was successfully installed and applied in the Pulang Copper Mine in Yunnan Province, demonstrating good application effectiveness. The results indicate that compared to traditional single monitoring methods, the multi-directional monitoring and warning system for underground debris flows has advantages such as low fault tolerance and high accuracy, making it more suitable for ensuring safe mining in mining areas.
Keywords: data platform; debris flow; early warning system; multi-parameter (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/15/20/15006/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/20/15006/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:20:p:15006-:d:1262125
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().