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CARL-PdM SIGNED

Next Generation Holistic Predictive Maintenance Software

Total Cost €

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EC-Contrib. €

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Partnership

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 CARL-PdM project word cloud

Explore the words cloud of the CARL-PdM project. It provides you a very rough idea of what is the project "CARL-PdM" about.

starting    3m    sent    auto    function    pdm    3d    scenarios    iiot    abstract    complete    learning    markets    uk    logistics    competitive    automation    biggest    class    data    provides    time    efficiency    flexibility    group    create    core    industry    leverage    categorize    machines    0m    behavior    preaches    sensor    70    edge    market    smart    reduce    algorithm    germany    operate    software    paradigm    output    prediction    innovative    promises    reproducible    factories    optimize    404    platform    italy    quality    energetic    france    consumption    spain    poland    huge    repair    printing    compares    parts    predictive    2021    regarding    belgium    pertinent    machine    tools    2016    classification    advantages    virtualization    cyber    assets    physical    gains    arc    added    carl    1250    global    iot    additional    20    intelligent    billion    industrial    routing    predicting    factory    30    advisory    grow    904    maintenance    revolution    stops    agnostic    solution    fault    historical    powered    numerical    layer    50    analytics   

Project "CARL-PdM" data sheet

The following table provides information about the project.

Coordinator
CARL INTERNATIONAL SA 

Organization address
address: 361 Allée des noisettiers
city: Limonest
postcode: 69578
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website http://www.carl-software.com/smart-maintenance-innovation/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CARL INTERNATIONAL SA FR (Limonest) coordinator 50˙000.00

Map

 Project objective

'Industry 4.0' preaches a complete revolution of industrial process and promises huge efficiency gains by a complete virtualization of the factory, numerical design tools, automation of the logistics and the routing of the parts, smart machines, 3D printing, cyber-physical systems, predictive maintenance and control of the whole factory by an intelligent system. In the next 10 years, industry 4.0 is expected to change the way we operate our factories and to create 1250 Billion € of additional value added in Europe. Also , according to ARC Advisory Group, the predictive maintenance market is estimated to grow from 1,404.3M€ in 2016 to 4,904.0M€ by 2021. CARL-PdM is a innovative IIoT data powered predictive maintenance platform encompass the core of 'Industry 4.0' with a new maintenance paradigm : maintenance is a production function whose aim should be to optimize production output and quality. We will leverage the IoT revolution to achieve these goal. This software solution, CARL-PdM, provides many core capabilities in industrial scenarios, including edge analytics who provide a way to pre-process the data so that only the pertinent information is sent to the predictive layer (Auto Classification and Machine learning). The predictive layer will categorize data into abstract class which represent technical assets behavior. It is a reliable and reproducible approach. Competitive advantages: - Reduce failure by 50%, maintenance cost by 30%, production stops by 70%, energetic consumption by 20%, Time To Repair by 30% - Increase production flexibility - System agnostic to machines - Machine-learning algorithm that compares the fault prediction and sensor data with historical data, predicting best maintenance activity regarding to production and quality objectives The solution will be implemented at a global scale, starting in European markets: France, Italy, Belgium for early market uptake and testing; and then the biggest EU markets (Germany, UK, Poland and Spain).

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The information about "CARL-PDM" are provided by the European Opendata Portal: CORDIS opendata.

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