Towards Integrated Process Supervision: Current Status and Future Directions

Abstract Process supervision deals with tasks that are executed to operate a process plant safely and economically. These tasks can be classified as data acquisition. regulatory control, monitoring. data reconciliation, fault diagnosis, supervisory control, scheduling and planning. Whi1c these operational tasks may be intrinsically different from each other, they are, however, c1osely related and can not be treated in isolation. Hence, there exists a clear need for an integrated framework so that the operational decision-making can be made more comprehensively and effectively. While such an integrated approach is very compelling and desirable, achieving it is no simple task as there are many challenges in realizing integration. In this paper, we review these challenges and indentify the underlying issues which need to be addressed for achieving an integrated approach to process supervision. We discuss the role of artificial intelligence in this context and how it provides a problem-solving platform for integration. We also survey the current status of automated approaches to operations and conclude with some thoughts on future directions.

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