As a matter of fact, the plant setup influences the product quality, and process sensors (flow meters, thermocouples, etc.) implicitly register process variability, correlation trends, drift, etc. On the contrary, it would be extremely advantageous to benefit from predictive models that, based on online sensors, will be able to return quality parameters in real time. The huge amount of sensor data collected are still mostly used to produce univariate control charts, monitoring one compartment at a time, and the product quality variables are generally used to monitor production, despite their low frequency (offline measurements at analytical laboratory), which is not suitable for real-time monitoring.
However, their use is not yet a common practice, and industries benefit much less than they could from the outcome of the hundreds of sensors that constantly monitor production in industrial plants. Process analytical technology and multivariate process monitoring are nowadays the most effective approaches to achieve real-time quality monitoring/control in production.
3Department of Chemistry, University of Roma La Sapienza, Roma, Italy.2Research Center, Versalis (ENI) S.p.A., Mantvoa, Italy.1Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy.Lorenzo Strani 1, Erik Mantovani 2, Francesco Bonacini 2, Federico Marini 3 and Marina Cocchi 1*
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