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Wireless Smart Sensors (WSS) process field data and inform structuralengineers and owners about the infrastructure health and safety. In bridgeengineering, inspectors make decisions using objective data from each bridge.They decide about repairs and replacements and prioritize the maintenance ofcertain structure elements on the basis of changes in displacements underloads. However, access to displacement information in the field and inreal-time remains a challenge. Displacement data provided by WSS in the fieldundergoes additional processing and is seen at a different location by aninspector and a sensor specialist. When the data is shared and streamed to thefield inspector, there is a inter-dependence between inspectors, sensorspecialists, and infrastructure owners, which limits the actionability of thedata related to the bridge condition. If inspectors were able to see structuraldisplacements in real-time at the locations of interest, they could conductadditional observations, which would create a new, information-based,decision-making reality in the field. This paper develops a new, human-centeredinterface that provides inspectors with real-time access to actionablestructural data (real-time displacements under loads) during inspection andmonitoring enhanced by Augmented Reality (AR). It summarizes the developmentand validation of the new human-infrastructure interface and evaluates itsefficiency through laboratory experiments. The experiments demonstrate that theinterface accurately estimates dynamic displacements in comparison with thelaser. Using this new AR interface tool, inspectors can observe and comparedisplacement data, share it across space and time, and visualize displacementsin time history.

Visualization of Real-time Displacement Time History superimposed with  Dynamic Experiments using Wireless Smart Sensors (WSS) and Augmented Reality  (AR)