Last month, we kicked off our NAIADES webinar series with our webinar #1 on IoT Technologies for Smart Water Systems. On the 16.11.2021 a small group of experts – both from the NAIADES project as well as externally – presented the current trends for Smart Water Systems as well as reflected and expressed their constructive point of views on these trends in a panel discussion. In total, 6 presenters gathered under the moderation of the AI expert Matej Posinković from the Jožef Stefan Institute while over 40 participants followed the presentations and discussions of these experts. The overarching topic – data models and how to apply them beneficially for the water sector – was seen through many lenses and projects. We presented first our approach in the NAIADS project, focused on the FIWARE framework and the extensions as well as challenges solved by our partners.
This ranged from the idea behind data models themselves, the general approach of FIWARE and how to integrate the data models into fully functional IT systems. The NAIADES approach presented here allows a fast creation of new data models to new needs, but also an easily shareable central single point of truth. Particular focus was out on the challenge of the validation of data before it is sent to a system. Does submitted data confirm to these data models? NAIADES developed a data model validation tool for FIWARE models and introduced it as well as showed how to use and modify it to your needs.
As an alternative, or as was later concluded complementary addition and possible extension to FIWARE data models, Hylke van der Schaaf and Katharina Schleidt presented the OFC SensorThings API – both its theoretical foundation as well as its existing uses in the real world. It was seen that there are many common technical ideas between OGC SensorThings API as well as FIWARE; however the OGC SensorThings API is more mature in regard to spatial data while FIWARE has the advantage in a more general Smart City and Smart Water area.
Finally, we also showed the combination of data models with new AI models to provide early warnings in regard to the bathing water quality. With that we turned to the panel discussion, where an in-depth discussion of the pros and cons between the different data modelling approaches was held. One of the key results for NAIADES – as well as the whole FIWARE ecosystem – was that an integration of the OGC SensorThings API into FIWARE would benefit both frameworks and in particular the spatial capabilities of FIWARE. Perhaps other projects in the DW2020 would like to include this in their works of improving FIWARE.
With this promising start to the webinar series we are looking forward to the next webinars in the NAIADES webinar series! See you there!