Explore the words cloud of the CARL-PdM project. It provides you a very rough idea of what is the project "CARL-PdM" about.
The following table provides information about the project.
CARL INTERNATIONAL SA
|Coordinator Country||France [FR]|
|Total cost||71˙429 €|
|EC max contribution||50˙000 € (70%)|
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)
|Duration (year-month-day)||from 2017-08-01 to 2018-01-31|
Take a look of project's partnership.
|1||CARL INTERNATIONAL SA||FR (Limonest)||coordinator||50˙000.00|
'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 (email@example.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.
In-Memory Computing and Artificial Intelligence Platform for Building Next Generation Enterprise SoftwareRead More
Osmotic Wearable Bolus Injector (oWBI) for viscous drug deliveryRead More
ScanVid - One-Click Integrated Access to Product-related Digital ContentRead More