Opendata, web and dolomites

CARL-PdM SIGNED

Next Generation Holistic Predictive Maintenance Software

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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).

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CARL-PDM" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

WIMUACT (2017)

TECHNOLOGY FOR THE IMPROVEMENT OF SPORTS PERFORMANCE IN NON-PROFESSIONAL CONTEXTS

Read More  

Enterprise BIM (2017)

Enterprise BIM digitization platform feasibility verification

Read More  

Assist (2015)

Telocate ASSIST – Development and marketing of an acoustic solution for localization and navigation of people in buildings using the smartphone

Read More