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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。
With the rapid development of computer science and network technology, a large number of geological disaster monitoring systems have emerged and rich research results have been obtained. However, many bottleneck problems have also been revealed, such as the difficulty of early warning threshold determination and the poor reliability of traditional server hardware limitation. In order to solve the above problems, the data security reserve system such as cloud server (ECS), cloud database (RDS) and cloud website is embedded in “Newton force monitoring and early warning system” using multi-source information fusion technology. Statistical methods to monitor early warning needs based on catastrophic information, and to establish long-term, short-term and early-warning warning modes and thresholds and to develop a disaster-prone information release APP terminal, WeChat public platform and GIS automatic search system for monitoring points, and a multi-source information release and search technology Finally, the system predicted the long-term forecast of the Nanfang open-pit mine “2016-1101” 45 days ahead of schedule with a mid-term forecast of 30 days ahead of schedule. It sent a disaster early warning of catastrophic failure within 4 hours ahead of schedule, Avoiding a large number of casualties and property losses. It proves that the system has the characteristics of timely information release, rich platform and wide release, and can meet the needs of landslide catastrophe monitoring and early warning in complex environment.