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.

More information
Web resources: http://www.preview-project.eu
https://cordis.europa.eu/project/rcn/193435/factsheet/en
Start date: 01-01-2015
End date: 01-01-2018
Total budget - Public funding: 3 321 853,00 Euro - 3 321 853,00 Euro
Call topic: Process optimisation of manufacturing assets - Research and Innovation Actions (FoF.ICT.2014.1.a_R&I)
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

07-11-2021
Images
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Location

Relevant items: View structured details below

Economic sustainability Flexibility Circular economy Social sustainability Increasing human achievements in manufacturing systems Occupational safety and health Environmental sustainability
Reducing the consumption of energy, while increasing the usa... Reducing the consumption of water and other process resource... Material efficiency Waste minimisation Reduction of energy consumption (in %) Reduction of waste (in %) Reduction of material consumption (in %)

Relevant items: View structured details below

Manufacturing the products of the future Resource efficient, sustainable products
Domain 2: Adaptive and smart manufacturing systems