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首页> 外文会议>International Conference on Reliability, Infocom Technologies and Optimization >Applying the Real-Time Monitoring based on Wireless Sensor Networks: The Bajo Giuliani Project
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Applying the Real-Time Monitoring based on Wireless Sensor Networks: The Bajo Giuliani Project

机译：基于无线传感器网络的实时监控的应用：Bajo Giuliani项目

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摘要

In terms of the data-driven decision making the real-time monitoring becomes day by day in a key asset. The financial markets, natural disasters, telecommunications among other are scenarios in which the data in the right moment could make a big difference. In this work, the “Bajo Giuliani” project is introduced. The project's aim is related to the monitoring of the water level in the “Bajo Giuliani” lagoon (La Pampa, Argentina) for supporting the data-driven decision making and avoiding the floods in the rain season. With this purpose, the Processing Architecture based on Measurement Metadata (PAbMM) which is specialized in the Measurement and Evaluation (M&E) projects is used. The M&E projects are defined in terms of the C-INCAMI (Context-Information Need, Concept Model, Attribute, Metric, and Indicator) framework for fostering its consistency, interoperability, and automatization. The monitoring stations based on Wireless Sensor Networks are schematized and shown considering the geographic limitations related to the zone. Because the data stream is not limited in volume, and the persistent data could be necessaries for modeling the historical behavior, a synthesis strategy is proposed using the synopsis related to the entity under monitoring.
机译：就数据驱动的决策而言，在关键资产中，实时监测变为日复一日的日期。金融市场，自然灾害，电信等的是恰当时刻的数据可以产生很大差异的情况。在这项工作中，介绍了“Bajo Giuliani”项目。该项目的目的与“Bajo Giuliani”泻湖（La Pampa，阿根廷）的水位监测有关支持数据驱动的决策，避免雨季的洪水。为此目的，使用基于测量元数据（PABMM）的处理架构，其专门从事测量和评估（M＆E）项目。 M＆E项目是根据C-INCAMI（上下文信息需要，概念模型，属性，度量，指标）框架来定义，用于促进其一致性，互操作性和自动化。基于无线传感器网络的监控站是模拟的，并示出了考虑到与区域相关的地理局限性。因为数据流不受卷限制，并且持久数据可能是用于建模历史行为的必要性，所以使用与监视下的实体相关的概要提出了合成策略。

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