PREVIEW | PREdictiVe system to recommend Injection mold sEtup in Wireless sensor networks

Summary

The objective of PREVIEW is to develop a Cyber Physical System (CPS) for plastic injection manufacturing processes monitoring, control and optimization, by incorporating several innovative and cutting edge technological solutions: advanced artificial intelligence and machine learning techniques, robust industrial wireless communication, IoT and indoor location. PREVIEW is a middleware solution that facilitates easy, ubiquitous, holistic and fast sharing of product and process information across the entire injection production process.

PREVIEW development incorporates several innovative technological solutions:

  • PREVIEW Advanced Predictive system offers a powerful knowledge based system for data analysis. Based on the data analysis results compared to historical data, the system will provide feedback, closing the loop by recommending actions to improve productivity;
  • PREVIEW will develop and implement the Data acquisition modules to collect the data from the in-mould cavity pressure and temperature sensors as well to collect data from the injection machine PLC;
  • Thanks to the data acquisition modules and the industrial wireless communication capabilities developed in the project, mould and machine become IoT-capable, allowing for interoperability at intra-plant level with other devices, including the PREVIEW server, database and mobile devices such as tablets and smartphones;
  • PREVIEW system offers the possibility to share among the Cloud the mould-DNA functionalities as well as the Setup Predictive System. These functionalities enable to reuse historical data when setting up a mould in another location.

PREVIEW deploys a set of technologies and enablers (Information and communication technologies, manufacturing strategies, modelling, simulation and forecasting methods and tools), for process optimization of manufacturing assets in the injection sector.

Unfold all
/
Fold all
More information & hyperlinks
Web resources: http://www.preview-project.eu
https://cordis.europa.eu/project/id/636892
Start date: 01-01-2015
End date: 31-12-2017
Total budget - Public funding: 3 321 853,00 Euro - 3 321 853,00 Euro
Cordis data

Original description

The objective of PREVIEW is to develop a Cyber Physical System (CPS) for plastic injection manufacturing processes monitoring, control and optimization, by incorporating several innovative and cutting edge technological solutions: advanced artificial intelligence and machine learning techniques, robust industrial wireless communication, IoT and indoor location. PREVIEW is a middleware solution that facilitates easy, ubiquitous, holistic and fast sharing of product and process information across the entire injection production process.

PREVIEW development incorporates several innovative technological solutions:

-PREVIEW Advanced Predictive system offers a powerful knowledge based system for data analysis. Based on the data analysis results compared to historical data, the system will provide feedback, closing the loop by recommending actions to improve productivity;

-PREVIEW will develop and implement the Data acquisition modules to collect the data from the in-mould cavity pressure and temperature sensors as well to collect data from the injection machine PLC;

-Thanks to the data acquisition modules and the industrial wireless communication capabilities developed in the project, mould and machine become IoT-capable, allowing for interoperability at intra-plant level with other devices, including the PREVIEW server, database and mobile devices such as tablets and smartphones;

-PREVIEW system offers the possibility to share among the Cloud the mould-DNA functionalities as well as the Setup Predictive System. These functionalities enable to reuse historical data when setting up a mould in another location.

PREVIEW deploys a set of technologies and enablers (Information and communication technologies, manufacturing strategies, modelling, simulation and forecasting methods and tools), for process optimization of manufacturing assets in the injection sector.

Status

CLOSED

Call topic

FoF-01-2014

Update Date

27-10-2022
Images
project_picturebig_1436-ScreenHunter_249_Apr._15_17.06.jpg
Geographical location(s)
Structured mapping
Unfold all
/
Fold all

Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FoF-2014
FoF-01-2014 Process optimisation of manufacturing assets
Research & Innovation Action (RIA)
Standards
Comment:
Autonomous Smart Factories Pathway
Connected IT and OT
IoT enabled SCADA, MOM-MES, ERP (…) connectivity
Off-line optimisation
Off-line Digital Manufacturing Process Optimisation on machine level
Realtime optimisation
Autonomous /online/realtime Manufacturing Process Optimisation on machine level
Economic sustainability
Flexibility
Environmental sustainability
Material efficiency
Reduction of material consumption (in %)
0
Comment: Reduction of
Waste minimisation
Reduction of waste (in %)
20
Comment: Reduction of scraps by 20%
Circular economy
Reducing the consumption of energy
Reduction of energy consumption (in %)
20
Comment: Reduction energy consumption by 20%
Reducing the consumption of water and other process resources.
Social sustainability
Comment:
Increasing human achievements in manufacturing systems
Occupational safety and health
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data storage
ICT solutions for next generation data storage and information mining
IoT - Internet of Things
Engineering tools
System modelling - digital twins, simulation
Interoperability (ICT)
General interoperability framework
Application level interoperability
Open APIs and Communication Protocols
Wireless communication protocols
Manufacturing the products of the future
Resource efficient, sustainable products
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
H2020-EU.2.1.1.0. INDUSTRIAL LEADERSHIP - ICT - Cross-cutting calls
H2020-FoF-2014
FoF-01-2014 Process optimisation of manufacturing assets
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.2.1.5.1. Technologies for Factories of the Future
H2020-FoF-2014
FoF-01-2014 Process optimisation of manufacturing assets