Task-oriented Sensor Web data processing for environmental monitoring

Task-oriented Sensor Web data processing for environmental monitoring
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用于环境监测的面向任务的传感器网络数据处理

DOI:
10.1007/s12145-015-0235-1
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发表时间:
2015-07
影响因子:
2.8
通讯作者:
Zhang Xining
Zhang Xining
中科院分区:
地球科学4区
文献类型:
--
作者:
Hu Lei;Yue Peng;Zhang Mingda;Gong Jianya;Jiang Liangcun;Zhang Xining

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随着地理空间服务和传感器技术的快速发展,大量的地理空间数据通过各种传感器网络收集并通过Web访问。传统的地理空间数据处理可以是面向任务的,因为可执行任务可以由一组操作步骤描述,实现为工作流,并使用分布式可执行服务来执行。任务有助于用户需求的表达,并捕获用户解决问题的知识。在本文中,面向任务的方法扩展到OGC传感器Web环境。它强调了传感器网络采用的事件驱动技术如何与物联网工作流一起使用,以支持环境监控任务。任务模型语言(TaskML)和任务触发机制的建议允许环境事件插入到现有的模型构建器GeoJModelBuilder中。可以逐步创建任务,并且可以使用触发器自动更新其执行优先级。与传统的“反应式”任务设定模式相比,任务增强型任务可以支持“主动式”环境监测。PM2.5/PM10监测的用例证明了该方法的适用性。
With the rapid development of geospatial service and sensor technologies, large volumes of geospatial data have been collected using various sensor networks, and accessible on the Web. Traditional geospatial data processing could be task-oriented, since a geoprocessing task can be described by a set of action steps, implemented as a workflow, and executed using distributed geoprocessing services. Tasks facilitate the expression of user requirements and capture the problem solving knowledge of users. In this paper, the task-oriented approach is extended to the OGC Sensor Web environment. It highlights how the event-driven technologies adopted by the Sensor Web can be leveraged with geoprocessing workflows to support environment monitoring tasks. The proposal of a Task Model Language (TaskML) and task trigger mechanism allows environmental events to be plugged into an existing model builder, GeoJModelBuilder. Tasks can be created in a stepwise manner, and their execution priority can be updated automatically using triggers. Compared to the traditional “reactive” task enactment mode, the trigger-augmented task can support “active” environmental monitoring. Use cases on PM2.5/PM10 monitoring demonstrate the applicability of the approach.
DOI: 10.1145/2095697.2095741
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