首页|响水煤矿山体地质灾害实时在线监测技术

响水煤矿山体地质灾害实时在线监测技术

扫码查看
原文链接
  • 万方数据
  • 维普
为掌握响水煤矿山体地质灾害的实时状态及变化情况,对滑坡体全要素数据进行实时监测,提出了一套基于MEMS三轴加速度传感器和MEMS陀螺仪的山体地质灾害监测技术,介绍了关键技术原理,分析了监测误差的关键参数并建立误差修正模型,制定了标定试验步骤,在工程案例中对结果进行了验证.工程应用试验结果表明,经过温度误差改正,该系统测量精度可达0.2 mm,分辨率和灵敏性优于0.1 mm,长期稳定性可达0.2 mm,可准确判断山体地质灾害的隐伏滑面为地面下13.0 m处,计算该隐伏滑坡体的方量和下滑力,满足山体地质灾害全要素长期实时监测和预测预警的需要.
Real-time on-line monitoring technology for geological hazards in Xiangshui Coal Mine mountains
In order to grasp the real-time state and changes of of geological disasters in the Xiangshui Coal Mine,real-time monitoring of all element data of the landslide body is carried out.A set of mountain geological hazard monitoring technology based on MEMS three-axis acceleration sensors and MEMS gyroscopes was proposed,revealing the key technical principles.The key parameters of monitoring errors were analyzed,and an error correction model was established.Calibration test steps were formulated,and the results were verified in engineering cases.The results of engineering application tests show that after temperature error correction,the accuracy of the system can reach 0.2 mm,the resolution and sensitivity are better than 0.1 mm,the long-term stability can reach 0.2 mm.It can accurately judge that the hidden sliding surface of the geological hazard of the mountain is 13.0 m below the ground,calculate the volume and slid-ing force of the hidden landslide body,and meet the needs of long-term real-time monitoring and prediction warning of all elements of mountain geological disasters.

geological hazards of the mountainhidden sliding surfaceMEMS sensorsgyroscopestotal factor monitoring

何林、姚宜斌、许超钤、何玉峰

展开 >

武汉大学测绘学院,湖北武汉 430079

贵州盘江煤电集团技术研究院有限公司,贵州贵阳 550002

山体地质灾害 隐伏滑面 MEMS传感器 陀螺仪 全要素监测

国家自然科学基金青年基金国家自然科学基金青年基金国家自然科学基金青年基金国家自然科学基金青年基金

42004019黔科合重大专项字[2021]3001黔科合支撑[2022]一般016黔科中引地[2021]4005

2024

10.19389/j.cnki.1003-0506.2024.04.004

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子：0.221
ISSN：1003-0506
年,卷(期)：2024.46(4)
  • 20