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arXiv 1802.06183cs.DB
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基于PostGIS的传感器观测服务异构对地观测传感器数据库框架实现

Towards Realisation of Heterogeneous Earth-Observation Sensor Database Framework for the Sensor Observation Service based on PostGIS

Maduako N. Ikechukwu, Francis I. Okeke

摘要:

在大多数情况下,环境监测和管理系统处理的模型和空间分析,涉及整合现场和远程地理传感器观测。现场传感器观测和遥感器收集的观测通常由不同的数据库和实时动态服务(如Geo-Web服务)提供。因此,数据必须从不同的数据库中提取,并在网络上传输,然后才能在服务中间件上进行融合和处理。这个过程是非常庞大的,不必要的通信工作负载的服务中间件。每次请求时从平面文件栅格数据源下载大量栅格数据的巨大工作负载以及服务中间件上的巨大集成和地理处理工作负载,这些工作实际上可以在数据库中更好地利用。因此,本文提出了基于PostGIS的异构传感器数据库框架的实现,用于在数据库级别集成,地理处理和空间分析远程和原位传感器观测。本文还讨论了如何将该框架集成到传感器观测服务(SOS)中,以减少地理空间Web服务的通信量和大量工作量,并使用户端的查询请求更加灵活。关键词:地球观测,异构地球观测传感器数据库,后GIS,传感器观测服务。

英文摘要:

Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote Geosensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic services such as the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the network before they are fused and processed on the service middleware. This process is very massive and unnecessary communication-work load on the service middleware. Massive work load in large raster downloads from flat-file raster data sources each time a request is made and huge integration and geo-processing work load on the service middleware which could actually be better leveraged at the database This paper therefore proposes the realization of heterogeneous sensor database framework based on PostGIS for integration, geo-processing and spatial analysis of remote and in-situ sensor observations at the database level. Also discussed in this paper is how the framework can be integrated in the Sensor Observation Service (SOS) to reduce communication and massive workload on the Geospatial Web Services and as well make query request from the user end a lot more flexible. Keywords: Earth-Observation, Heterogeneous Earth-Observation Sensor Database, PostGIS , Sensor Observation Service.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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