Sustainable decision support based on relevant data AI and IoT for smart maintenance of societal...
Sustainable decision support artiklar
The project will create a tool for more effective and sustainable maintenance in general, and more specifically: A sustainability analysis tool.
The project develops methods for integrating life cycle impact for maintenance and long-term planning for the Swedish road and rail network.
The project focuses on asset management and socioeconomic decision support models for reinvestment and maintenance measures in infrastructure management.
The ongoing development demands new effective methods for planning the maintenance of cycle paths. That is the focus of this project.
There are many methods for prioritizing how a state road should be maintained on state roads but not for city streets, something the project revolves around.
The project develops a decision support model that, among other things, takes into account socio-economic effects and enables comparison and prioritisation.
The purpose of the project is to identify the most relevant information to enable the best possible monitoring of our management networks
Water utilities in general lack in asset management. With digitalisation, the opportunities for better knowledge of pipe status are growing.
Smart maintenance can solve problems like unplanned interruptions, high leakage and risk of drainage in the drinking water network.
The project aims to establish a correct correlation between the results of inspection techniques and results from modeling of degradation mechanisms.
Maintenance take time but could become more efficient from a distance using AR (augmented reality) and VR (virtual reality).