Obiettivo 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. Campo scientifico 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 Programma(i) 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 Argomento(i) SMEInst-01-2016-2017 - Open Disruptive Innovation Scheme Invito a presentare proposte H2020-SMEInst-2016-2017 Vedi altri progetti per questo bando Bando secondario H2020-SMEINST-1-2016-2017 Meccanismo di finanziamento SME-1 - SME instrument phase 1 Coordinatore CARRIOTS SL Contribution nette de l'UE € 50 000,00 Indirizzo CALLE JULIAN CAMARILLO 29 BLOQUE E2 PLANTA 4 28037 MADRID Spagna Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Comunidad de Madrid Comunidad de Madrid Madrid Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 71 429,00
