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.

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

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.)

Assist (2015)

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

Read More  

Gestoos (2017)

The first Behavior Recognition Open Platform

Read More  

Rhomb (2017)

Innovative modular hardware development platform

Read More