Objectif Thanks to ThingSight, manufacturing SMEs will be able to anticipate and avoid equipment failures by embedding a predictive maintenance solution within their products. ThingSight is an Internet of Things (IoT) Analytics system which generates and collects data from machinery and provides a flexible, scalable and easy-to-use analytics tool to help manufacturers in their daily machinery support and maintenance activities. This disruptive innovation provides important benefits for manufacturing SMEs: reduced equipment downtime (40%-60%) increased effective manpower utilization (75%-80%), increased production capacity (15%-40% for the short term, and 75%-80% for the long term), reduced labour and material costs (35%-60%) and increased machinery operating lifetime (33%-60%). ThingSight is particularly targeted at European SMEs (manufacturers and maintenance providers) which cannot afford the implementation of ad-hoc IoT systems. While existing alternatives are costly and require a high investment, the innovation of ThingSight primarily comes from our successful pay-as-you-grow model based on the number of devices. In Phase 1 we will conduct a research on the optimal algorithms and techniques for descriptive analysis, advanced analysis and machine learning. Additionally, we will select potential technological partners for the project. We will also develop a Business Plan to analyse the economic viability of ThingSight and prepare a detailed Financial Plan. ThingSight will contribute to the overall EU’s industrial growth strategy by providing advanced IoT tools to help manufacturing and maintenance companies to become more resource-efficient, by reducing machinery maintenance costs and increasing equipment lifetime operation. Champ scientifique natural sciencescomputer and information sciencesinternetinternet of thingsnatural sciencescomputer and information sciencesdata sciencebig datasocial scienceseconomics and businessbusiness and managementbusiness modelssocial scienceseconomics and businessbusiness and managementemploymentnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument Thème(s) SMEInst-01-2016-2017 - Open Disruptive Innovation Scheme Appel à propositions H2020-SMEInst-2016-2017 Voir d’autres projets de cet appel Sous appel H2020-SMEINST-1-2016-2017 Régime de financement SME-1 - SME instrument phase 1 Coordinateur CARRIOTS SL Contribution nette de l'UE € 50 000,00 Adresse CALLE JULIAN CAMARILLO 29 BLOQUE E2 PLANTA 4 28037 MADRID Espagne Voir sur la carte PME L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention. Oui Région Comunidad de Madrid Comunidad de Madrid Madrid Type d’activité Private for-profit entities (excluding Higher or Secondary Education Establishments) Liens Contacter l’organisation Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 71 429,00