Architecture and Data Model for Monitoring of Distributed Automation Systems

Abstract A monitoring architecture and corresponding data model to support fault diagnosis in distributed automation systems is presented. The monitor system conSISts of a central monitor and a set of the monitoring agents, that cooperate via rule sets and diagnosis results. The data model combines event-based and continuous diagnostic methods and allows to adjust the monitor overhead. The achieved compacting of monitor information on the end nodes along with iterative diagnosis makes teleservice easier and more attractive.