Objective
The Process Industries require a high degree of automation, monitoring, and advanced simulation and control for their often complex manufacturing processes and operations. Emphasis is on continuous or batch production, mixing, reaction and separation of materials of higher value. Indeed, increased globalisation and competition are drivers for process analytical technologies (PAT) that enable seamless process control, greater flexibility and cost efficiency.
ProPAT aims to develop novel sensors and analysers for providing measurements on composition, particle size and local bulk properties, as well as more traditional but smart sensors for measuring other process parameters, such as temperature, flowrate, pressure, etc., and integrate them into a versatile global control platform for data acquisition, data processing & mining and User Interface in order to measure properties of process streams and products, accurately and in real-time. The platform also provides self-learning and predictive capabilities aimed for dramatically reducing overcosts derived from even slight deviations from the optimum process.
Low cost MEMS-NIR spectroscopic and granulometric analysers, smart sensors for in batch and in continuous processes will be developed and integrated into the global control platform with the chemometric tools and the predictive software to deliver an integrated process control platform. ProPAT will enable near real time closed-loop process control to operate industrial processes at their optimum, both economically and environmentally, while ensuring high levels of quality. It will also allow the uptake of the Quality by Design for continuous process improvement. The project results will be validated in different processes and applications including milling of minerals, ceramics, metals, mixing and granulation of pharma products and polymerization of resins, and will represent a major step forward towards more efficient, reliable and sustainable industrial operation
Fields of science
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- social sciencessociologyglobalization
- engineering and technologymaterials engineeringceramics
- natural sciencescomputer and information sciencesdata sciencedata processing
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
08940 Cornella De Llobregat
Spain
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Participants (16)
08860 Castelldefels
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02150 Espoo
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LS2 9JT Leeds
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43003 Tarragona
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8401 Winterthur
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01069 Dresden
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08007 Barcelona
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T12 P928 Cork
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00380 Helsinki
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02044 VTT Espoo
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60486 Frankfurt
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11528 Athens
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TW89GS Brentford
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191 00 Megara
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
31030 Carbonera
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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.
31100 Treviso
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.