Design a Predictive Control Model for a CIP System
Zusammenfassung
This document describes the analitical
method to define control parameters during a clean
in place (CIP) cicle in the pharamaceutical/food
industry. The new models of CIP systems comes
with many automatic controls and are monitored in
live with a monitoring and data historian like PI.
This system give us the oportunity to analize deeper
the process parameters in order to identify posible
failures factors during the CIP runs like the supply
pressure, supply flow and return flow. For
example: We can analyze the relation with supply
flow and return flow with the supply pressure in
order to identify and define the safest process
targets and if required the alarms addition to the
recipes if the cycle is found exceeding the
recommended limits. Be aware prior events
occurred is a challenge for the industry of this
century because at most events of safety, process
fails occurs, it can finish in profit looses or OSHA
observations depend the case. Using data analysis
on every aspect in the industry could results in
more benefits for the company and also for the
workers more than expected. Once establish the
required process parameters based in the analyzed
data we can also implement mistake proofing (Poka
Jokes), additional visual aids, continuous
improvement tools as required.
Key Terms – Acid, Biotechnology, Caustic,
Rupture disc.