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An Automatic Online Disaster Monitoring Network: Network Architecture and a Case Study Monitoring Slope Stability

机译:自动在线灾难监控网络:网络架构和案例研究监测坡稳定性

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摘要

Geosensor networks(GSN) is an important development direction of the disaster monitoring in the future. An online automatic unattended disaster monitoring system can prevent and reduce the geology disaster to protect the safety of life and property. At present, most GSN are independent and usually service for respective community. The observations data of GSN are bigger and complex , and GSN is mostly heterogeneous wireless sensor networks. So this paper proposes a novel GSN disaster monitoring overall architecture, This architecture can seamlessly integrate sensors for long- term, remote, and near-real-time monitoring. In the architecture, there are four layers are used to collect, manage , transport and processing observation data. Among them, the data server layer applies the OGC SWE standards to integrate and share heterogeneous monitoring data. sensor metadata and observation data are packaged into a virtual sensor that are is transported from data center to application layer through Sensor Observation Service (SOS). To demonstrates the applicability of our proposed method, we use a case named PS-MDMs which are developed and deployed to support mine disaster monitoring and modeling research.
机译:Geosensor网络(GSN)是未来灾害监测的重要发展方向。在线自动无人值守灾害监测系统可以防止和减少地质灾害以保护生命和财产的安全性。目前,大多数GSN都是独立的,通常为各个社区服务。 GSN的观测数据更大,复杂,GSN大多是异构的无线传感器网络。因此,本文提出了一种新的GSN灾难监控整体架构,这种架构可以无缝地集成了传感器,用于长期,远程和近实时监控。在架构中,使用四层来收集,管理,传输和处理观察数据。其中,数据服务器层应用OGC SWE标准来集成和共享异构监控数据。传感器元数据和观察数据包装到虚拟传感器中,通过传感器观察服务(SOS)从数据中心传输到应用层。为了展示我们所提出的方法的适用性,我们使用名为PS-MDM的案例,该案例是开发和部署的,以支持矿山灾害监测和建模研究。

著录项

  • 作者

    Jianmin Wang; Xiaoqin Yang;

  • 作者单位
  • 年度 2018
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  • 原文格式 PDF
  • 正文语种 eng
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