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ProPAT – Robust and affordable process control technologies for improving standards and optimising industrial operations

At a glance

Description

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.


Further information