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23 European Symposium on Computer Aided Process Engineering
註釋One of the important challenges in effective real time process management is the implementation of intelligent systems that can assist human operators in making supervisory control decisions, instead of simply sounding an alarm when process variables go out of range. Operator failures to exercise the appropriate mitigation actions often have an adverse effect on product quality, process safety, occupational health and environment. The challenges and opportunities for improvements are even greater in the pharmaceutical manufacturing domain because of the characteristic features of solid processing. An Intelligent Alarm System (IAS) is developed for monitoring of a continuous dry granulation line. The application of the framework is demonstrated through a case study on a roller compactor. The framework provides information to the operator regarding the detection and diagnosis of exceptional events along with relevant mitigation strategies, with the goal of avoiding the progression of the process to emergency shutdown.