Opendata, web and dolomites

UCL SIGNED

Unmanned Chemical Lab (UCL): autonomous control system for the remote management of soluble and emulsifiable metalworking fluids

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 UCL project word cloud

Explore the words cloud of the UCL project. It provides you a very rough idea of what is the project "UCL" about.

risks    software    alter    automatic    unusable    disposal    predicts    disposed    novelty    risk    smooth    machinery    ucl    exposure    service    platform    impacts    fabrication    optimum    operator    pose    database    time    workers    ai    transportation    emulsion    bacterial    automatically    monitoring    profit    mew    metalworking    fluids    send    manages    fluid    expert    100    reactions    full    pours    skin    cumulative    correction    respiratory    life    intervene    operators    operation    evaporation    rely    roi    amount    keep    industries    reducing    company    intelligence    powered    continuous    degradation    extensive       restore    negative    reduce    disintegration    12    alerting    either    pillars    waste    measured    emulsions    drastically    post    4m    generate    last    mwf    health    cloud    interventions    deterioration    foresee    relies    remotely    susceptible    week    lab    artificial    poured    using    several    situ    environmental    water    chemical    commercialisation    45    controls    reys    accurate    safety    metal    unmanned    once    events    associate    additives   

Project "UCL" data sheet

The following table provides information about the project.

Coordinator
REYS SPA 

Organization address
address: VIA CESARE BATTISTI 78
city: ARCORE
postcode: 20862
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 Italy [IT]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    REYS SPA IT (ARCORE) coordinator 50˙000.00

Map

 Project objective

Several industries such as transportation, machinery and metal fabrication rely on metalworking fluids (MWF) for smooth operation. Water-based MWF, especially emulsions are susceptible to deterioration due to factors such as bacterial growth or evaporation of water which alter the fluid characteristics. In order to keep MWF properties at their optimum, additives must be used. Currently, however, testing of parameters is done either once a week using hand-held devices or using automatic systems which send information to operators alerting them to intervene. If additives are not poured in time, the MWF become unusable and need to be disposed. MWF disposal is associated with high costs of waste management and negative environmental impacts. In addition, both MWF and additives pose health risks such as skin reactions and respiratory conditions. REYS S.p.A, an expert chemical production and fluid management company has developed the Unmanned Chemical Lab (UCL), a cloud-based platform that automatically predicts fluid degradation events, remotely manages and controls process fluids reducing drastically the health exposure risk to workers. Based on an extensive database on MWF parameters and interventions taken by operators, our system has an artificial intelligence (AI) software capable to determine the amount of additives required to restore parameters to their optimum and pours the measured additives automatically. UCL novelty relies on four major pillars: (1) AI powered software enables continuous, automatic and highly accurate monitoring of the emulsion providing correction of MEW parameters in real-time; (2) usage of less than 2% fluids and additives; (3) reduce MWF disintegration by 100% enabling the fluid to last its full-service life of a year and (4) 100% reduction of health and safety operator risks associate with in situ MWF measurements. We foresee to generate a cumulative profit of €2.4M, a ROI of 4.45 and 12 personnel, 5 years post commercialisation.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "UCL" 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 "UCL" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

ECOBIOMASS (2019)

Achieving unique wines through an efficient production process

Read More  

Magnesys (2019)

Efficient filtering of metallic impurities in food processing

Read More  

Didimo (2019)

Humanity in Digital Communication

Read More