Climate change constitutes a serious global challenge with consequences that are directly affecting infrastructure. Thus, there is a great need to develop reliable cost-effective systems, which integrate remote sensing data, in situ measurements and advanced methods for infrastructure monitoring. In this framework, the European Union and the Hellenic government are financially supporting a R&D project, named “PROIΟΝ”. The purpose of the project is the development of a platform for the continuous monitoring of high-priority infrastructures (public infrastructure, dams, bridges, etc.) which are located in a particularly active area in terms of tectonics and seismicity. Monitoring is based on the combination of instrumental and remote sensing measurements along with fuzzy logic networks methods and machine learning algorithms in order to generate an innovative decision-making and decision-support tool. Specifically, measurements derived from three-axis accelerometers, Global Navigation Satellite System (GNSS) receivers and Persistent Scatterer Interferometry are imported into the platform. The measurements will be validated using high-accuracy reference representations arising from data acquired by Terrestrial Laser Scanning (TLS) surveys and Unmanned Aerial Vehicles (UAV) campaigns and subsequently, deformation maps will be generated. Intelligent data analysis methods will contribute to making decisions on the current as well as the future state of the infrastructure. At this initial stage of the project, the proposed monitoring system is described in detail.
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