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姜朋明, 梅岭, 季佩祥, 周爱兆. 镇江烈士陵园边坡地质灾害远程监测预警预报系统[J]. 岩土工程学报, 2013, 35(zk1): 340-345.
引用本文: 姜朋明, 梅岭, 季佩祥, 周爱兆. 镇江烈士陵园边坡地质灾害远程监测预警预报系统[J]. 岩土工程学报, 2013, 35(zk1): 340-345.
JIANG Peng-ming, MEI Ling, JI Pei-xiang, ZHOU Ai-zhao. Development and application of monitoring and warning system geological disasters of slope in Zhenjiang Martyrs Cemetery[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk1): 340-345.
Citation: JIANG Peng-ming, MEI Ling, JI Pei-xiang, ZHOU Ai-zhao. Development and application of monitoring and warning system geological disasters of slope in Zhenjiang Martyrs Cemetery[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk1): 340-345.

镇江烈士陵园边坡地质灾害远程监测预警预报系统

Development and application of monitoring and warning system geological disasters of slope in Zhenjiang Martyrs Cemetery

  • 摘要: 以镇江烈士陵园西侧一边坡为研究对象,确定降雨量以及坡体位移为监测内容,用翻斗式雨量计对降雨量进行监测,基于GNSS技术的实时变形监测系统,通过分布在边坡的GPS设备,实时在线全自动监测边坡位移的变化,形成了高效、节能的边坡监测硬件系统;利用Visual C++网络编程技术,以SQL Server2005为后台数据库,自主开发了镇江市烈士陵园边坡地质灾害远程预警预报系统,实现数据的远程实时接收存储,为管理部门及时了解现场监测结果和快速决策提供了强有力软件支持;系统建立了降雨量统计预警模型,并集成了多种时间预测模型,形成了变形预测模型库,通过选取合适的预报模型,为边坡预警预报的可靠性提供有力保证;结合本项目当前监测数据,系统给出该边坡处于安全状态。

     

    Abstract: A slope located in the west of Zhenjiang Martyrs Cemetery is studied. An efficient and energy-saving slope monitoring device system is established based on the real-time monitoring system of the GNSS technology. The system mainly aims at displacement and rainfall monitoring. The rainfall is measured by means of the tipping bucket rain gauge. Using the GPS equipments distributed around the slope, the real-time on-line automatic monitoring system works well. Based on the Microsoft Visual C++ network technology and SQL Server 2005 database, a remote warning and forecast system for geological disasters of the slope in Zhenjiang Martyrs Cemetery is developed so as to realize the real-time remote receiving and saving of the monitoring data. It can help the administrative departments know the monitoring results in time and supports them to make wise decisions. The system sets up a rainfall warning model and integrates several time forecast models to establish the slope deformation prediction model database, all of which provide a powerful guarantee of the reliability of predictions. According to the monitored data, the slope is still in a safe state.

     

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