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.

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

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.)

Colourganisms (2020)

Microbial production of custom-made, pure and sustainable anthocyanins

Read More  

TAPPXSSAI (2019)

Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry

Read More  

BeatsDigTherapeutics (2019)

Project SCALE: Tailored Digital Therapeutics for Neurological and Brain Disorders

Read More