Objective
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.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
08290 Cerdanyola Del Valles (Barcelona)
Spain
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Participants (8)
08290 Cerdanyola Del Valles
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
V31 Listowel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
08940 Cornella De Llobregat
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10117 Berlin
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SY4 4NR Shrewsbury
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2497 GC Den Haag
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1139 Budapest
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
56012 Calcinaia Pi
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.