ABSTRACT
Many organizations who are responsible for inspecting, monitoring, and maintaining bridge infrastructure are faced with the challenges of workforce shortages and an increasing backlog of aging bridges. Addressing these challenges requires a multi-faceted solution from the owner/operators, the engineering consultants they rely on as well as the entire infrastructure industry. Leveraging the latest technology to improve the current workflows should be a significant component of the comprehensive solution. The collection of reality data with a UAS and creation of a digital twin has proven to be a valuable tool in augmenting traditional inspections by utilizing remote visualization. As the technology matures, there continues to be advances in the tools that can be used along with the digital twin to assist inspectors. This paper will highlight how Collins Engineers used these tools to augment their existing workflows as a consultant to the Minnesota Department of Transportation in a detailed inspection and rehabilitation plan for the Robert Street Bridge. This includes the use of photo navigation alongside the 3D model, inspection forms with georeferenced issues, and mobile tools used in the field. The technology and associated workflow utilized by Collins saved over 30% in inspection hours and the improved quality of the data collection will generate a 20% savings in construction costs.
In addition to highlighting the tools used in the case study, the paper will cover other tools that can be used within a digital twin including artificial intelligence crack and spall detection, augmented reality model visualization and internet of things (IoT) sensors for structural health monitoring. Other AI detectors that are currently under development will be discussed and how these innovations will continue to transform traditional workflows. The transformation from traditional inspection workflows has the potential to enhance safety, reduce costs and improve the accuracy of inspection results.
