1. Scoring system for technical evaluation of technologies for remote monitoring of bridgesMogens Saberi, Kevin McPherson, Fengqiao Zhang, Anna Arvidsson, Simon Fjendbo, Carl van Geem, Maja Kreslin, Andrej Anžlin, 2024, published scientific conference contribution Abstract: Transportation infrastructure demands reliable, cost-effective, environmentally friendly, and safe solutions. It is, therefore, crucial to leverage both the knowledge gained from current practices and the potential offered by emerging technologies. This paper uses the scoring system approached in the INFRACOMS project to offer a framework for asset managers and technology providers to identify areas of improvement and make informed decisions regarding selecting and implementing remote condition monitoring solutions. We focus on two technologies for bridges, like bridge weigh-in-motion and digital inspection and centre around four areas: data analysis, visualisation and integration and potential for practical decision-making. Technologies are evaluated based on their intended use, acknowledging that some may have multiple applications due to novel sensor installations or data interpretation/visualisation methods. Consequently, a technology may undergo multiple appraisals within this system. We showcase the benefits of the scoring system, alignment with specific use cases, and potential for broad applicability.
Keywords: bridge, remote monitoring, scoring system
Published in DiRROS: 14.08.2024; Views: 35; Downloads: 46
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2. CoDEC : connected data for road infrastructure asset managementSukalpa Biswas, Jacques Proust, Tadas Andriejauskas, Alex Wright, Carl van Geem, Darko Kokot, António Antunes, Vânia Marecos, José Barateiro, Shubham Bhusari, Uros Jovanovic, 2021, published scientific conference contribution Abstract: Road infrastructure asset management is rapidly transforming into a digital environment where data accessibility, effective integration and collaboration and accessibility from different sources and assets are key. However, current asset management processes are not yet fully integrated or linked, and there are incompatibilities between various systems and platforms that limit the ability to integrate asset management with BIM. The CoDEC project has sought to understand the current status of information management for assets, including inventory, condition and new data sources such as sensors and scanning systems, to identify the challenges and needs for linking and integrating different data sets to support effective asset management. As a result, CoDEC has developed a data dictionary framework to help link/integrate static and dynamic data for the "key" infrastructure assets (road pavements, bridges, tunnels). This will enable BIM and Asset Management Systems (AMS) to exchange data and help optimise and integrate data management across systems and throughout the different asset lifecycle phases, from build to operation. This work will be followed up with three pilot projects to demonstrate the feasibility of integrating asset data from various sources through linked data/semantic web technology to build the connection between AMS and BIM platforms.
Keywords: CoDEC, asset managemen, asset data, data dictionary, linked data, BIM, ontology
Published in DiRROS: 22.02.2024; Views: 464; Downloads: 159
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