摘要
为了提出一套适应高原特殊环境条件的尾矿库安全监测与环境风险管理策略,针对某高原尾矿库安全和环境风险管理面临的挑战,进行了整合机器学习算法与物联网技术的尾矿库安全监测研究。通过实时监测尾矿库坝体位移、浸润线等关键参数,提高了监测的精确度和响应速度,并探讨了高原尾矿库环境风险评估的新方法。研究结果表明:该策略有效提升了尾矿库的安全监测技术水平,并为高原地区尾矿库的环境风险管理提供了有效的解决方案,对促进地区经济的可持续发展具有重要的实践意义;研究的实施和评估证明了所提策略在实际应用中的有效性,可为高原尾矿库的安全运营和环境保护提供有力的技术支持和决策参考。
In order to propose a set of safety monitoring and environmental risk management strategies for tailings reservoirs adapted to the special environmental conditions of the plateau,aiming at the challenges faced by the safety and environmental risk management of a plateau tailings reservoir,the safety monitoring of tailings reservoirs integrating machine learning algorithms and Internet of Things technology is studied.Through real-time monitoring of key parameters such as dam displacement and saturation line of tailings reservoir,the accuracy and response speed of monitoring are improved,and a new method of environmental risk assessment of plateau tailings reservoir is discussed.The research results show that the strategy effectively improves the safety monitoring technology level of the tailings reservoir,and provides an effective solution for the environmental risk management of the tailings reservoir in the plateau area,which has important practical significance for promoting the sustainable development of the regional economy.The implementation and evaluation of the research prove the effectiveness of the proposed strategy in practical application,which can provide strong technical support and decision-making reference for the safe operation and environmental protection of the plateau tailings pond.
作者
秦东平
QIN Dongping(Qinghai Kunlong Weiye Industrial Investment Co.,Ltd.)
出处
《现代矿业》
2025年第1期217-221,共5页
Modern Mining
关键词
高原
尾矿库
安全监测
环境风险管理
plateau
tailings reservoir
safety monitoring
environmental risk management
