Abstract
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.
Highlights
In recent decades, as global climate anomalies increase, the number of natural disasters is rising and environmental disasters due to human activity are increasing
We briefly explain the related technologies used for disaster monitoring systems; geosensor networks (GSNs), Open Geospatial Consortium (OGC), and Sensor Web Enablement (SWE)
When the Sensor Observation Service (SOS) request from a web client is sent to the sensor registration center, the observation data from the data management system can be conveyed to any user on the Internet, achieving data sharing and interoperability
Summary
As global climate anomalies increase, the number of natural disasters is rising and environmental disasters due to human activity are increasing. In 2015, we designed the architecture for a GSN-based disaster monitoring system in a mine [8] that gave a comprehensive view on the important technologies for ground surface monitoring systems Some of these monitoring systems have attained automatic monitoring so that they can continuously monitor the environment in real-time or near-real-time without human intervention. We enabled data sharing and remote publication with the support of a sensor web service interface. To fulfill these objectives, the main contribution of this paper is a geosensor network service architecture adapted to support insitu monitoring. A mine disaster monitoring services system based on that architecture is described This system is an automatic online GSN system.
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