ASHVIN WP5 “Digital twin based structural monitoring and asset management” focus on establishing a real-time connection between physical infrastructures and virtual yet realistic numerical models of such assets for the purpose of supporting maintenance and asset management tasks. Deliverable 5.4 entitled ”GIS for digitally twinned asset management” was submitted in March 2024 under this work package. This report is related to tasks 5.3 Risk based predictive maintenance and 5.4 Safe, environment & productive maintenance planning.
Abstract
This report describes the developed tools GISI and RISA. A specific tool GISI is developed to integrate all of the data related to monitoring, condition assessment and maintenance of infrastructures into GIS for asset management on all levels, from short to long term decision making. RISA tool is developed to predict different maintenance scenarios based on the inspection and monitoring of assets. The tool allows end-users to interactively review and utilise specific outputs of the risk assessment and the consequence modelling in risk analysis. The tool presents the user with different maintenance that could be chosen based on KPIs.
Download the entire report in Open Access via Zenodo:
