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基于动态数据驱动的地质灾害监测预警系统设计与实现 被引量:22

Design and implementation of monitoring and warning system for geological disasters based on dynamic data-driven technology
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摘要 基于地质灾害诱发因素与形成机理,针对地质灾害传统数据管理、实时监测数据处理与分析、预警模型库建设等问题,结合动态数据驱动、多源数据可视化及监测数据实时传输等技术,建立基于动态数据驱动技术的地质灾害监测自动预警方法体系,并采用阈值判别预警、过程跟踪预警以及时空信息的综合分析预警方法,充分采用服务流引擎技术与数据库技术,研制基于网络环境的新型地质灾害动态监测系统,以实现灾害信息实时查询、处理与分析、动态监测曲线的绘制及灾害自动预警等功能。以甘肃省黑方台黄土滑坡监测示范区为例,验证构建的地质灾害实时监测数据与预警模型服务流,系统能够实时反映灾害体的变形情况,并成功预警了黑方台陈家6#滑坡。 An automatic warning system for geological disasters based on the dynamic data driven technique is established in consideration of inducing factors of geological disaster and formation mechanisms, traditional data management, real time monitoring data processing and analysis, earlywarning model database for geological disasters, multi source data visualization technologies, and the real time transmission technology of monitoring data. Methods of early warning by threshold value discrimination, early warning by process tracking and early warning by comprehensive analysis of spatio temporal information are used, combined with the application of service flow engine technology and databases. A new type of geological disaster dynamic monitoring system based on the network environment is proposed in order to achieve real time query, processing and analysis of disaster information, obtain dynamic monitoring curve and automatic warning of disaster as well as other functions. This method is used for the study of the Heifangtai Loess Landslide Monitoring Demonstration Zone in Oansu Province and the real time monitoring data and early warning model service flow for geological disasters are verified. The system reflected the deformation of the disaster body in real time and successfully alerled the Heifangtai Chenjia 6^# landslide.
作者 苏白燕 许强 黄健 梁繁 SU Baiyan;XU Qiang;HUANG Jian;LIANG Fan(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu UniVersity of Technology,Chengdu 610059,China;Sichuan Land and Resources Archive,Chengdu 610045,China)
出处 《成都理工大学学报(自然科学版)》 CAS CSCD 北大核心 2018年第5期615-625,共11页 Journal of Chengdu University of Technology: Science & Technology Edition
基金 四川省科技支撑项目(KJ-2018-17)
关键词 地质灾害 监测预警 数据驱动技术 服务流引擎技术 预警模型 geological disaster monitoring and early warning dynamic data driven technology service flow engine technology early warning model
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