Objectives

Civil structures represent the largest asset class when considered in monetary units. Maintaining these assets in optimal condition for as long as possible can only be achieved through continuous and automated monitoring coupled with appropriate interventions (repairs, maintenance) at an early stage. Continuous monitoring depends on the reliability of monitoring systems: automatically tracking data integrity and quality therefore becomes essential. Automatic predictions, event detection and warnings are necessary to achieve a successful and economic package in the years to come. The objective of this project is to generate a generic framework for monitoring the quality of data flows generated by multiple types of sensors installed on civil assets before being used for (advanced) analysis tasks. Algorithms will be developed and then combined with code based on physics, including background knowledge on the sensor type and the corresponding working principle, together with more black box (neural-network based) model approaches.