(20th-February-2021)
• In a chemical tank various catalysts are added to the base ingredients at differing rates to speed up the chemical processes required. Viscosity has to be controlled very carefully, since inaccurate control leads to poor quality and hence costly wastage
• The system was trained on data recorded from the production line. Once trained, the neural network was found to be able to predict accurately over the three-minute measurement delay of the viscometer, thereby providing an immediate reading of the viscosity in the reaction tank. This predicted viscosity will be used by a manufacturing process computer to control the polymerisation tank.
• A more effective modelling tool
• Speech recognition (signal analysis)
• Environmental control
• Power demand analysis
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