Usecases that will be tested in the AMdEX fieldlab
Predictive Maintenance is a highly competitive field in many industries. Machine learning allows the industry to transition from fixed to variable maintenance intervals of parts through prediction. Training data is required for this, preferably on all global flight conditions, from arctic to desert conditions. There is no company that collects all this kind of data with its flights. AMdEX provides the possibility to set up data markets for maintenance data in which companies can share this data with each other.
The transition to a new generation of smart mobility solutions requires advanced systems that use data fusion and prediction algorithms in order to respond to and anticipate the current situation at public transport nodes. However, these types of algorithms require many current and historical data sources which often are not available. The AMdEX infrastructure support mobility datamarkets in which data from different sources can be made available and accessible.
Madaster and Dexes are jointly developing a datamarket – the ‘Omgevingsregister’ – in which the sharing of data about the built environment is made easier. This environmental register facilitates parties to make data about materials and products accessible so that the transition from a linear to a circular economy can be made. The AMdEX infrastructure will be beneficial to the development of this datamarket.
SURF and UvA will develop a prototype research data market in which research groups and industry partners keep control over who accesses their data and what it can be used for. Ultimately this will also apply to the resulting data publications in which the entire lifecycle of data processing by various groups / industries can be traced, thus ensuring transparency in Open Science.