The Artificial Intelligence of Things Sensing System of Real-Time Bridge Scour Monitoring for Early Warning during Floods

Abstract

Scour around bridge piers remains the leading cause of bridge failure induced in flood. Floods and torrential rains erode riverbeds and damage cross-river structures, causing bridge collapse and a severe threat to property and life. Reductions in bridge-safety capacity need to be monitored during flood periods to protect the traveling public. In the present study, a scour monitoring system designed with vibration-based arrayed sensors consisting of a combination of Internet of Things (IoT) and artificial intelligence (AI) is developed and implemented to obtain real-time scour depth measurements. These vibration-based micro-electro-mechanical systems (MEMS) sensors are packaged in a waterproof stainless steel ball within a rebar cage to resist a harsh environment in floods. The floodwater-level changes around the bridge pier are performed using real-time CCTV images by the Mask R-CNN deep learning model. The scour-depth evolution is simulated using the hydrodynamic model with the selected local scour formulas and the sediment transport equation. The laboratory and field measurement results demonstrated the success of the early warning system for monitoring the real-time bridge scour-depth evolution.

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“…rough the understanding of this point, the system performance can be further improved. e system performance analysis ensures the stability of the system to a certain extent, enabling the system to adapt to a variety of environments and operate normally [20].…”

Methods to detect and measure scour around bridge foundations

“…6). Then, the scour-depth development is simulated with the hydrodynamic model and the sediment transport formula using the specified local scour formulas [30]. The overall performance of the hydrodynamic modelling is reasonable, based on the technique stated above, for whole scour-depth development.…”

Review of artificial intelligence-based bridge damage detection

“…Scour is also a very important type of bridge damage. 65,66 Lin et al 67 used Mask R-CNN and images to obtain the flood water level changes around the bridge piers. The image identification results were used to validate the simulated water levels obtained from the hydrodynamic model, thus improving the evolution accuracy of the bridge scour depth.…”