With the expansion of human production activities, geological disasters caused by slope instability are occurring more frequently. Hence, the research on effective monitoring and forecasting of the geotechnical stability of slopes is of great significance for the prevention and mitigation of slope geological disasters. In this study, a landslide monitoring and early warning system based on 5G Internet of Things (IoT) technology is introduced. The system monitors important indicators such as three-dimensional surface displacement, rainfall, and ground cracks using Global Navigation Satellite System equipment and various IoT sensors deployed on site. The key monitoring data are transmitted and displayed by 5G communication and advanced data visualization technologies. An early warning guideline is established by combining the surface deformation rate–time curve according to a four-level early warning method as well as embedded vector maps such as the topographic and geomorphological remote sensing map of the monitoring area, the geological section map, and the monitoring point distribution map. The system has the functions of accurate acquisition, rapid transmission, automatic search, and comprehensive analysis and is applied to the study of creep slopes of the Lianhe terraces in Youxi County, Fujian Province, with remarkable results.

随着人类生产活动的扩大，边坡失稳引起的地质灾害越来越频繁发生。因此,研究边坡岩土稳定性的有效监测与预测,对防治边坡地质灾害具有重要意义。本研究介绍了一种基于5G物联网（IoT）技术的滑坡监测预警系统。该系统利用全球导航卫星系统设备和现场部署的各种物联网传感器监测三维地表位移、降雨量、地裂缝等重要指标。关键监控数据通过5G通信和先进的数据可视化技术进行传输和展示。根据四级预警方法，结合地表变形率-时间曲线，嵌入监测区地形地貌遥感图、地质剖面图、监测点分布图。该系统具有准确采集、快速传输、自动搜索、综合分析等功能，应用于福建省尤溪县连河阶地蠕变坡研究，效果显着。