Intelligent operational management and the concept of integration
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Current data acquisition systems provide the user with hundreds and even thousands of variables which need to be monitored and processed. These variables need to be organized within an expert control architecture encompassing tasks such as regulatory control, data reconciliation, process monitoring, fault detection and diagnosis, supervisory control, planning and scheduling. Task integration involves the integration of techniques in a continuously changing environment. This paper presents a new integration framework known as the Knowledge Management Method using hierarchical timed place Petri nets. Applicability of the proposed framework is demonstrated through the integration of the data reconciliation and supervisory control modules.
|Publication Type:||Journal Article|
|Murdoch Affiliation:||School of Engineering|
|Copyright:||2003 Springer-Verlag Berlin Heidelberg|
|Notes:||Book Title: Developments in Applied Artificial Intelligence - 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 Loughborough, UK, June 23–26, 2003 Proceedings|
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