滑坡监测多源系统云服务平台架构及工程应用

 随着计算机科学和网络技术的快速发展，大量地质灾害监测系统应运而生，取得了丰富的研究成果，但也暴露出许多瓶颈问题，如预警阈值确定困难、传统服务器受硬件限制可靠性差等。针对上述问题，首先采用多源信息融合技术，将云服务器(ECS)、云数据库(RDS)和云网站等数据安全储备系统嵌入到“牛顿力变化监测预警系统”中；然后，采用数理统计方法，根据灾变信息监测预警需求，建立长期、短期和临滑预警模式及阈值，并开发出灾变信息发布APP终端、微信公众平台和监测点GIS自动搜索系统，集多源信息发布和搜索技术于一体；最后，利用该系统提前45 d对南芬露天铁矿“2016–1101滑坡”进行长期预报，提前30 d进行中期预报，提前4 h在全矿范围内发出灾变临滑预警，避免了大量人员伤亡及财产损失，证明该系统具有信息发布及时、平台丰富、发布面广等特点，能够适应复杂环境下滑坡灾变监测预警需求。

Frame structure and engineering applications of multi-source system cloud service platform for landslide monitoring

A larger number of systems for geological hazard monitoring have been developed with the rapid development of computer network technology. In the meantime，these systems exhibited a number of bottlenecks. For instance，the early warning threshold is difficult to be determined and the traditional server is limited by the hardware reliability. It is proposed to embed the cloud server(ECS)，cloud database(RDS)，cloud sites and other data security storage system in the“Newton force change monitoring and early warning system” based on the multi-source data fusion technology. The long-term，short-term，imminent sliding mode and warning threshold were established statistically according to the needs of disaster monitoring and warning. An APP terminal for disaster information release，a WeChat public platform and an automatic search system of GIS monitoring were developed to integrate the multi-source information publishing and searching technology. The developed system issued a long-term forecast 45 days in advance of the“2016–1101 landslide”of the open pit iron mine in Nanfen，issued a medium-term forecast 30 days in advance and issued a sliding disaster warning 4 hours ahead to the whole mine，which avoided possibly a large number of casualties and property losses.