Project description DEENESFRITPL Developing a platform for better use of data The development and evolution of the Internet of Things (IoT) devices and sensors has resulted in them starting to play an important role in most fields of industry. They generate huge amounts of data that are used mainly for monitoring, but could provide many more benefits and advantages. Unfortunately, those benefits remain largely untapped, as there has not been enough innovation in the field to allow their efficient use. The EU-funded MORE project aims to change this by allowing industries to tap into the many advantages that better use of IoT data could provide. To achieve this, MORE will develop a platform, utilising advanced analytics, edge and cloud computing and modelling techniques for sensor data that allows more accurate predictions and better diagnostic models. Show the project objective Hide the project objective Objective The widespread use of sensor and IoT devices is generating huge volumes of time series data in various industries like finance, energy, factories, medicine, manufacturing and others. Industries use these data for monitoring, but their main potential is still untapped. Existing techniques and software for time series management do not provide tools sufficiently scalable and sophisticated for managing the huge volumes of data or adequate forecasting, prediction and diagnostics. MORE will create a platform that will address the technical challenges in time series and stream management, focusing on the RES industry. MORE’s platform will introduce an architecture that combines edge computing and cloud computing to be able to guarantee both responsiveness and provide sophisticated analytics simultaneously. This architecture will be combined with the usage of time series summarization techniques, or as we more accurately term them in MORE, modelling techniques for sensor data. Models are any compressed representations that allow the reconstruction of the original data points of a time series (e.g. a linear function) within a known error-bound (possibly zero). This approach has synergies with the edge computing approach, since summarization can be done at the edge, reducing the load in the whole data processing pipeline. MORE will introduce advanced analytics tools for prediction, forecasting and diagnostics based on two technological directions: machine learning and pattern extraction, with emphasis to motifs, which is the state-of-the-art for time series. MORE will adjust these techniques to work directly on models of data, thus enabling them to scale beyond state-of-the-art. The ability to ingest huge volumes of data will have an important impact to the accuracy of the prediction and diagnostics models. Fields of science natural sciencescomputer and information sciencesinternetinternet of thingsnatural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencesdata sciencedata processing Programme(s) H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme Topic(s) ICT-51-2020 - Big Data technologies and extreme-scale analytics Call for proposal H2020-ICT-2018-20 See other projects for this call Sub call H2020-ICT-2020-1 Funding Scheme RIA - Research and Innovation action Coordinator ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS Net EU contribution € 886 875,00 Address Artemidos 6 kai epidavrou 151 25 Maroussi Greece See on map Region Αττική Aττική Βόρειος Τομέας Αθηνών Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (6) Sort alphabetically Sort by Net EU contribution Expand all Collapse all AALBORG UNIVERSITET Denmark Net EU contribution € 640 000,00 Address Fredrik bajers vej 7k 9220 Aalborg See on map Region Danmark Nordjylland Nordjylland Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 INACCESS NETWORKS S.A. Greece Net EU contribution € 395 625,00 Address Odos sorou 12 15125 Maroussi See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Αττική Aττική Βόρειος Τομέας Αθηνών Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 IBM IRELAND LIMITED Ireland Net EU contribution € 885 000,00 Address Bd 2 ibm technology campus damastown industrial pa mulhuddart D15 HN66 Dublin See on map Region Ireland Eastern and Midland Dublin Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 PERCEPTION DYNAMICS LIMITED Cyprus Net EU contribution € 193 750,00 Address Florinis 7 grec tower 1065 Nicosia See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Κύπρος Κύπρος Κύπρος Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 BELGISCH LABORATORIUM VAN ELEKTRICITEITSINDUSTRIE Belgium Net EU contribution € 467 053,00 Address Rodestraat 125 1630 Linkebeek See on map Region Vlaams Gewest Prov. Vlaams-Brabant Arr. Halle-Vilvoorde Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,75 MODELARDATA IVS Denmark Net EU contribution € 252 250,00 Address Fiskerivej 2k 1 8000 Aarhus See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Danmark Midtjylland Østjylland Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
