A Methodology for Heterogeneous Sensor Data Organization and Near Real-Time Data Sharing by Adopting OGC SWE Standards

Abstract

Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eurac Research to automatically upload data, in near real-time, by adopting Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards to guarantee interoperability. We set up a methodology capable of ingesting heterogeneous datasets to automatize observation uploading and sensor registration, with minimum interaction required of the user. This solution has been successfully tested and applied in the Long Term (Socio-)Ecological Research (LT(S)ER) Matsch-Mazia initiative, and the code is accessible under the CC BY 4.0 license.

Dynamic 3D Simulation of Flood Risk Based on the Integration of Spatio-Temporal GIS and Hydrodynamic Models

“…It promotes the application of flood risk simulation results in emergency administration, which will improve the efficiency of decision making. In most realistic applications, the data acquisition system, the hydrodynamic model computation system, the visualization system, and the business management system are individual systems [18]. Therefore, interoperability among these systems is usually not very good, which affects the efficiency of emergency administration of flood disasters.…”

“…These developments have also led to changes from static 3D data to dynamic 3D data and time series data, from static to dynamic and continuous visualizations, from spatial analysis to real-time spatio-temporal simulations, and from decision support aids to operational running. Spatio-temporal GIS can better satisfy these changes, can better manage spatio-temporal data from flood disasters, and can be used to reveal patterns of spatio-temporal changes in incidents (i.e., floods) [18][19][20][21].…”

Time-Series-Based Queries on Stable Transportation Networks Equipped with Sensors

“…The foundations for sensor networks are described in the work by Delin and Jackson [27], who study how several different sensors can be combined into a network and the benefits of such a combination for analysis purposes. This idea is extended by Ventura et al [28], who devise an implementation of an heterogeneous network of sensors. Further, Cannate et al [29] present an implementation of a sensor observation system for the Ticino canton in Switzerland.…”