Submission ID 115158
Session Title | AM - New Technologies in Asset Management |
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Title | Transforming Bridge and Railway Asset Management: A Case Study of the Rideau River Railway Bridge Inspection, Using Advanced Drone Technology and AI |
Abstract | The Canadian Northern Ontario Railway Bridge is a railway plate girder bridge that spans the Rideau River, connecting the Merivale area to the Mooney's Bay neighbourhood in Ottawa, Ontario, Canada. Currently owned by the Canadian National Railway (the successor to the Canadian Northern Ontario Railway), the bridge supports various rail services, including the Via Rail Toronto–Ottawa Corridor passenger trains. Niricson and DecisionWorks conducted the first of two concrete defect surveys on the Rideau River Railway Bridge, in May’2024. This survey aimed to provide a baseline analysis of the bridge's condition, focusing on the identification and quantification of visual defects and delamination. The data collection process involved capturing high-resolution RGB/optical images and acoustics signature points, which were subsequently processed using Niricson's proprietary defect detection and quantification software, AUTOSPEX® for bridge defects and DecisionWorks TrackSense software for rail defects. A second survey was done in October of 2024 to validate change detection capabilities in both platforms. AUTOSPEX and TrackSense technology, encompassing advanced UAV equipment and proprietary software, provided a preliminary defect survey for Transport Canada Rideau River Railway Bridge which opens the door to transformative asset management practices. The data generated from this effort will be used in the following ways:
This initiative can facilitate Transport Canada in digitizing its portfolio of assets and tracking asset conditions over time by implementing digital baseline technology for all new-build, pre-rehabilitation, and post-rehabilitation projects. |
Presentation Description (for App) | The Rideau River Railway Bridge inspection by Niricson and DecisionWorks utilized advanced drone technology and AI, including AUTOSPEX® and TrackSense software, to detect and quantify defects. This approach enhances asset management by enabling data-driven maintenance plans, predictive strategies, and optimized budget allocation while supporting Transport Canada's move toward digitized infrastructure |
Author and/or Presenter Information | Joshua Fowler, Niricson Grant Barkman, DecisionWorks Consulting Inc. |