基于云-边协同技术的突发性滑坡灾害监测预警体系研究

滑坡预警体系的建立和完善对于中国防灾减灾具有重要意义。目前成熟的滑坡预警体系以云端服务器为中心，完成数据集成、预警计算及信息发布等任务。然而，由于网络传输延迟、服务器运算时延的影响，从数据采集到客户端信息接收的过程中，存在较长的时耗过程，使预警体系存在一定程度的预警时延。同时，目前预警体系受制于数据传输条件，在灾后断电断网的场景下，现场监测网络无法与云端服务器建立连接，监测预警工作难以有效进行。为此，基于云-边协同技术，对滑坡灾害监测预警体系进行了深入研究，并开发了云端监测预警平台和边缘预警计算终端。通过真实滑坡监测数据模拟验证了云端与边缘预警计算终端协同工作时滑坡监测预警体系的有效性。研究成果对提高滑坡预警体系稳定性，尤其是极端网络条件下实现滑坡灾害有效预警具有积极作用。

Monitoring and early warning system of sudden landslide based on cloud-edge collaboration technique

As one of the most serious countries affected by natural disasters, the establishment and improvement of landslide early warning system is of great significance for disaster prevention and mitigation in China. At present, the landslide early warning system is centered on the cloud server to complete the tasks of data integration, early warning calculation and information release. However, due to the influence of network transmission delay and server operation delay, there is a long time consumption process in the process from data collection to client information reception, which makes the early warning system have a certain degree of early warning delay. At the same time, the current early warning system is subject to data transmission conditions. In the scenario of post-disaster power outage and disconnection, the on-site monitoring network cannot be connected to the cloud server, and the monitoring and early warning work is difficult to be carried out effectively. Therefore, based on cloud-edge collaboration technology, this paper conducts in-depth research on landslide disaster monitoring and early warning system, and develops cloud monitoring and early warning platform and edge early warning computing terminal. Through the simulation of real landslide monitoring data, the effectiveness of the landslide monitoring and warning system is verified when the cloud and edge warning computing terminal work together. This study has a positive effect on improving the stability of landslide early warning system, especially to realize effective early warning of landslide disasters under extreme network conditions.