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崩塌滑坡灾害微动监测与超前报警技术

廖云平 李辉 田明 谭亮 李奕 肖婷 吴立新 曾国机 刘朋飞 陈立川 秦代伦 董平 杨勇 王伟

水文地质工程地质2026,Vol.53Issue(2):85-94,10.
水文地质工程地质2026,Vol.53Issue(2):85-94,10.DOI:10.16030/j.heg.202510032

崩塌滑坡灾害微动监测与超前报警技术

Micro-vibration monitoring and pre-warning technology for landslide and rockfall disasters

廖云平 1李辉 2田明 2谭亮 2李奕 3肖婷 4吴立新 4曾国机 5刘朋飞 6陈立川 2秦代伦 2董平 2杨勇 2王伟2

作者信息

  • 1. 自然资源部地质灾害自动化监测技术创新中心(重庆地质矿产研究院),重庆 401120||中南大学地球科学与信息物理学院,湖南 长沙 410083
  • 2. 自然资源部地质灾害自动化监测技术创新中心(重庆地质矿产研究院),重庆 401120
  • 3. 重庆华地资环科技有限公司,重庆 401120
  • 4. 中南大学地球科学与信息物理学院,湖南 长沙 410083
  • 5. 重庆市自然资源安全调度中心,重庆 401147
  • 6. 重庆市地质环境监测总站,重庆 401122
  • 折叠

摘要

Abstract

To address the challenge of achieving low cost,simplicity,and reliability in geological disaster monitoring and early warning,this study proposes a micro-vibration monitoring and pre-warning technology based on micro-electro-mechanical system(MEMS)sensors.Focusing on the common"dynamic"precursors of geological disasters,such as displacement,tilt,and vibration,and adhering to the comprehensive sensing principle of"hazard source-transmission path-affected body",a pre-warning algorithm based on multi-point anomaly intensity factors was developed.Additionally,a micro-vibration monitoring and warning device with edge computing capabilities was designed.The effectiveness of the technology was systematically validated through in-situ tests on unstable rock masses and large-scale physical model experiments of landslides.Experimental results demonstrate that the monitoring device can effectively detect weak precursor signals prior to rockfall and landslide instability.Leveraging its edge computing capability,the warning device achieves pre-warning judgments within seconds,significantly enhancing the timeliness and accuracy of warnings.The micro-vibration monitoring and warning device is suitable for monitoring and pre-warning slopes and embankments in mountainous areas,particularly around residential areas.When integrated with traditional monitoring and warning technologies,it enables refined risk prevention and control of geological disasters.

关键词

崩塌滑坡/超前报警/微动监测/模型试验/仪器

Key words

landslide and rockfall/pre-warning/micro-vibration monitoring/model experiments/device

分类

天文与地球科学

引用本文复制引用

廖云平,李辉,田明,谭亮,李奕,肖婷,吴立新,曾国机,刘朋飞,陈立川,秦代伦,董平,杨勇,王伟..崩塌滑坡灾害微动监测与超前报警技术[J].水文地质工程地质,2026,53(2):85-94,10.

基金项目

国家重点研发计划项目课题(2023YFC3007205) (2023YFC3007205)

自然资源部地质灾害自动化监测技术创新中心开放课题(TICG-K2024008) (TICG-K2024008)

水文地质工程地质

1000-3665

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