文献类型：期刊文献

中文题名：滑坡监测多源系统云服务平台架构及工程应用

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

作者：陶志刚[1,2];张海江[1,2];彭岩岩[2];赵帅[1];何满潮[1]

机构：[1]中国矿业大学(北京)深部岩土力学与地下工程国家重点实验室;[2]绍兴文理学院岩石力学与地质灾害实验中心

年份：2017

卷号：36

期号：7

起止页码：1649

中文期刊名：岩石力学与工程学报

外文期刊名：Chinese Journal of Rock Mechanics and Engineering

收录：CSTPCD、、北大核心2014、EI(收录号：20174104252885)、Scopus(收录号：2-s2.0-85030625517)、CSCD2017_2018、北大核心、CSCD

基金：收稿日期：2017–01–13；修回日期：2017–03–17 基金项目：国家自然科学基金资助项目(41502323，41602308)；浙江省山体地质灾害防治协同创新中心开放基金项目(PCMGH–2016–Z–02) Supported by the National Natural Science Foundation of China(Grant Nos. 41502323 and 41602308) and Open Fund of Zhejiang Collaborative Innovation Center for Prevention and Control of Mountain Geologic Hazards(Grant No. PCMGH–2016–Z–02) 作者简介：陶志刚(1981–)，男，博士，2004 年毕业于河北理工大学交通工程专业，现任讲师，主要从事岩体力学与工程灾害控制领域方面的教学与 研究工作。E-mial：taozhigang@263.net DOI：10.13722/j.cnki.jrme.2017.0051

语种：中文

中文关键词：边坡工程;滑坡监测;云服务;灾变APP终端;多源监测;临滑预警

外文关键词：slope engineering; landslide monitoring; cloud services; catastrophic APP terminal; multi-source monitoring; critical-sliding warning

中文摘要：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。

外文摘要：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 We Chat 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.