基于过程预警模型的矿山边坡监测系统研究与应用
RESEARCH AND APPLICATION OF MINE SLOPE MONITORING SYSTEM BASED ON PROCESS WARNING MODEL
肖自为 1马源 1李金林 1龚弦 1邓修林 1程曦1
作者信息
- 1. 中国建筑材料工业地质勘查中心四川总队,成都 610052
- 折叠
摘要
随着矿山开采活动的增加,边坡安全监测成为确保矿山安全与稳定的关键技术.传统的矿山边坡监测系统虽然能够实现一定程度上的监测,但在预警精度和误报率方面仍存在局限.本研究提出了一种基于过程预警模型的矿山边坡监测系统,通过集成变形速率、速率增量和改进切线角等多个监测指标,结合大数据算法模型,实现了对地质灾害变形演化过程的实时监测和全过程预警.该系统不仅降低了预警信息的冗余度和误报率,还提高了预警的准确性和及时性.通过在多个省的应用验证,证明了该系统在提升矿山边坡监测效率和预警精度方面的有效性.本研究对矿山边坡监测技术的发展提供了新的思路,为地质灾害的预防和控制提供了有效的技术支持.
Abstract
With the increase in mining activities,slope safety monitoring has become a key technology to ensure mine safety and stability.Although traditional mining slope monitoring systems can achieve a certain degree of monitoring,there are still limitations in terms of warning accuracy and false alarm rate.This study proposes a mining slope monitoring system based on a process warning model.By integrating multiple monitoring indicators such as deformation rate,rate increment,and improved tangent angle,combined with a big data algorithm model,real-time monitoring and full process warning of the deformation evolution process of geological hazards are achieved.This system not only reduces the redundancy and false alarm rate of warning information but also improves the accuracy and timeliness of warnings.The effectiveness of the system in improving the efficiency of mine slope monitoring and early warning accuracy has been demonstrated through application verification in eight provincial emergency systems.This study provides new ideas for the development of mining slope monitoring technology and effective technical support for the prevention and control of geological disasters.
关键词
矿山边坡监测/过程预警模型/变形速率/大数据算法/地质灾害预警Key words
mine slope monitoring/process warning model/deformation rate/big data algorithms/geological hazard warning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据