Accessing and Interpreting OPC UA Event Traces based on Semantic Process Descriptions

• URL: http://arxiv.org/abs/2207.12252v1
• Date: Mon, 25 Jul 2022 15:13:44 GMT
• Title: Accessing and Interpreting OPC UA Event Traces based on Semantic Process Descriptions
• Authors: Tom Westermann, Nemanja Hranisavljevic, Alexander Fay
• Abstract summary: This paper proposes an approach to access a production systems' event data based on the event data's context. The approach extracts filtered event logs from a database system by combining: 1) a semantic model of a production system's hierarchical structure, 2) a formalized process description and 3) an OPC UA information model.
• Score: 69.9674326582747
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The analysis of event data from production systems is the basis for many applications associated with Industry 4.0. However, heterogeneous and disjoint data is common in this domain. As a consequence, contextual information of an event might be incomplete or improperly interpreted which results in suboptimal analysis results. This paper proposes an approach to access a production systems' event data based on the event data's context (such as the product type, process type or process parameters). The approach extracts filtered event logs from a database system by combining: 1) a semantic model of a production system's hierarchical structure, 2) a formalized process description and 3) an OPC UA information model. As a proof of concept we demonstrate our approach using a sample server based on OPC UA for Machinery Companion Specifications.

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