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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.

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

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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