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ThingSight

Financiado

Industrial IoT Communication and Analytics Platform for Smart Maintenance

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 whic... ver más

28/02/2017

CARRIOTS

71K€

Presupuesto del proyecto: 71K€

Líder del proyecto

CARRIOTS 1. el asesoramiento tecnico, economico, financiero, consultoria y en general la prestacion de servicios de apoyo a las sociedades cuyo objet...

TRL 4-5 | 316K€

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-02-28

SMEInst-01-2016-2017: Open Disruptive Innovation Scheme

I+D

Cerrada hace 8 años

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1 Participantes

CARRIOTS

50.00K€ | Lider

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Duración del proyecto: 2 meses Fecha Inicio: 2016-12-07
Fecha Fin: 2017-02-28

Líder del proyecto

CARRIOTS 1. el asesoramiento tecnico, economico, financiero, consultoria y en general la prestacion de servicios de apoyo a las sociedades cuyo objet...

TRL 4-5 | 316K€

Presupuesto del proyecto 71K€

Descripción del proyecto 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.

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