Applying the Real-Time Monitoring based on Wireless Sensor Networks: The Bajo Giuliani Project

Abstract

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.