Model-based Knowledge Extraction for Automated Monitoring and Control

Abstract Typically, Plant Lifecycle Management Systems (PLMS) provide rich functionality for universal asset management and engineering during a design phase of production systems. Completing actual realization of these production systems and bringing them into operational mode turns out that necessary information from a PLMS, provided already during engineering step, will not be coupled with an appropriate system any more. It remains so as well, even when it is necessary to call back specific engineering background information for some scenario (e.g. for automated monitoring and control). Our approach presented here aims in finding an effective solution for this issue comprising the following: (1) a formal logic-based model for flexible information acquisition from a PLMS, and (2) an automated reasoning mechanism, which can be flexibly adopted for an implementation of various applications of the operational mode (e.g. diagnostic functionality). To evaluate our proposed concepts and techniques, we focus on the implementation example using the Siemens PLMS product COMOS.