基于西原模型的蠕变型滑坡预警判据及滑坡智能监测预警系统研究

针对滑坡临滑预报难点问题,以建立滑坡的监测预警系统为目标,依据原有T-t模型的固定临滑判据,以西原模型为基础通过理论推导出蠕变型滑坡等速应变速率和临滑切线角的关系式,建立了通过滑坡均速阶段速率确定临滑切线角的动态评估方法,继而通过对20个典型蠕变破坏与23个未破坏滑坡监测数据验证了该方法的可靠性。在此评估方法的基础上结合当今流行的无线传感器网络、云平台技术研发了一套基于无线组网技术的滑坡智能监测预警系统。结果表明,该滑坡监测预警系统具有滑坡自动评估、无线组网、自适应Kalman滤波、变频采样控制、数据掉线重传、虚拟化存储、三维地理信息展示等技术特点。目前该系统已在川黔铁路裁缝岩滑坡取得应用,为铁路运营提供准确、可靠的监测预警信息。

Nishihara model-based study on pre-warning criteria for creeping landslide and landslide intelligent monitoring and pre-warning system

Aiming at the problem of the difficulty from the critical sliding forecast of landslide，the relationship between the constant strain-rate and the critical sliding tangential angle of the creeping landslide is theoretically deduced based on Nishihara model in accordance with the fixed critical sliding criteria of original T － t model by taking the establishment of the monitoring and pre-warning system of the landslide as the study objective，while the dynamic assessment method for the critical sliding tangential angle is determined through the rate of the landslide during the phase of the uniform speed of its movement，and then the reliability of this method is verified through the monitoring data from 20 typical creeping landslides and 23 un-failed landslides. Combined with the current techniques of wireless sensing network and cloud platform，a set of wireless networking-based intelligent monitoring and pre-warning system for the landslide is developed on the basis of this assessment method. The result shows that the system has the technical characteristics of automatic assessment on landslide，wireless networking，adaptive Kalman filtering，variable-frequency sampling，data offline cache for retransmission，virtualized storage，3 － D geographic information display，etc. At present，this system is already applied to Caifengyan Landslide of Chuanqian Ｒailway，which provides accurate and reliable pre-warning information for the operation of the railway.