传统边坡声发射监测系统多采用C/S架构，数据展示和分析以客户端软件为主，缺少浏览器端三维场景构建，在系统兼容、升级拓展、数据共享和用户体验等方面有待提升，且声发射相关业务的动态效果仿真也存在一定的探索空间。鉴于此，以湖北省秭归县郭家坝镇边坡、江西省新余市某矿山边坡为例，基于SpringBoot前后端分离的服务架构和Cesium三维可视化平台，设计并构建了B/S架构下的边坡声发射监测系统，解决了多源多维异构数据的融合、发布与可视化以及探头扫描和声源扩散的动态效果仿真等技术问题，实现了三维场景可视化、监测数据管理、在线统计分析、监测预警预报、系统设置等功能，为边坡地质灾害在线智能监测提供了全方位、立体化、动态化的示范性应用。

The traditional slope acoustic emission monitoring system mostly adopts C/S architecture, and the data display and analysis is mainly based on client-side software, lacking intuitive 3D scene construction on browser-side, which needs to be improved in system compatibility, upgrade and expansion, data sharing and user experience, and there is also a certain exploration space for dynamic effect simulation of acoustic emission related business. In view of the above problems, taking the slope of Guojiaba Town in Zigui County, Hubei Province and a mine slope in Xinyu City, Jiangxi Province for example, we designed and constructed a slope acoustic emission monitoring system in B/S architecture based on the SpringBoot(a service architecture that separated the front and back sides) and Cesium(a 3D visualization platform), which could solve the technical problems of multi-source multi-dimensional heterogeneous data fusion, release and visualization, probe scanning and dynamic effect simulation of acoustic emission source diffusion, realize the functions of 3D scene visualization, monitoring data management, online statistical analysis, monitoring early warning and forecast, system setting and so on, and provide an all-round, 3D and dynamic demonstration application for online intelligent monitoring of slope geological disasters.