Mondi, a global leader in packaging and paper, has been actively pursuing digital transformation with AVEVA PI System as a core part of its strategy. One goal is data-based maintenance of assets. However, traditional approaches relying on static limits or manufacturer specifications proved insufficient for robust asset problem detection. To address this, Mondi implemented advanced condition monitoring at their plant in Frantschach, Austria. The initial focus was on pumps and heat exchangers using sensor data from AVEVA PI System. Advanced analytics for anomaly detection was implemented using the software Visplore. The system analyzes data automatically, providing warnings and alarms to asset managers via AVEVA PI Vision dashboards. Results have shown benefits such as detecting asset cleaning needs earlier and savings in fresh water. Further benefits include reduced maintenance workload and energy savings. Mondi plans to extend the solution to other assets and to implement similar monitoring solutions in other Mondi plants.
Speaker
Harald Piringer
Harald's main interest isself service analytics for industrial process data. After finishing his PhD in computer science from Vienna University of Technology in 2012, Harald became the head of the Visual Analytics department at the Austrian research center VRVis with over 25 publications. He led the development of the software Visplore in close collaboration with enterprises such as RHI Magnesita. In 2020, Harald cofounded the Vienna based spin off company Visplore GmbH and is the CEO. He raised funding from four venture capital firms and is driving the further development and the growth of the company.