A Web 2.0 Framework for Real-time Location Intelligence

K. Rivard
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引用次数: 1

Abstract

With increasing deployments of global positioning system (GPS) devices, radio frequency identification (RFID) tags, and other location-aware devices, it is now possible to capture time-varying object information. In addition, existing systems such as enterprise resource planning (ERP) systems emit ancillary object metadata (e.g., inventory levels in a warehouse). The challenge is how to leverage these information assets for demanding field operations scenarios such as crisis management, given the size and real-time nature of the data. To address the challenge, we have built a Web 2.0 framework for real-time spatial intelligence and collaboration. Our framework includes an extensible architecture for ingesting and combining spatial data across multiple formats; a fusion server for merging spatial and bespoke business data; support for spatial transformations tied to configurable business rules; and a publishing engine that pushes the combined information out for consumption in a visual, collaborative presentation layer running in standard Web browsers and on mobile devices. The result is an easily deployable system with broad reach to the field through a visual, interactive interface presenting timely, meaningful information.
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实时位置智能的Web 2.0框架
随着全球定位系统(GPS)设备、射频识别(RFID)标签和其他位置感知设备的部署不断增加,现在可以捕获时变的对象信息。此外,诸如企业资源规划(ERP)系统之类的现有系统会发出辅助对象元数据(例如,仓库中的库存水平)。面临的挑战是,考虑到数据的规模和实时性,如何利用这些信息资产来满足危机管理等苛刻的现场操作场景。为了应对这一挑战,我们建立了一个用于实时空间情报和协作的Web 2.0框架。我们的框架包括一个可扩展的架构,用于摄取和组合跨多种格式的空间数据;用于合并空间和定制业务数据的融合服务器;支持与可配置业务规则相关的空间转换;以及一个发布引擎,该引擎将合并后的信息推送出去,供在标准Web浏览器和移动设备上运行的可视化协作表示层中使用。其结果是一个易于部署的系统,通过可视化、交互式界面提供及时、有意义的信息,可以广泛地到达现场。
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