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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.

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

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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