#203 | OPC UA Forge: Unified Namespace for Legacy Factory Data | Prosys OPC & Casa Mendes Gonçalves Artwork

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Der Praxis- Podcast für Industrial IoT (IIoT) zum Dranbleiben: Reale IoT-Projekte aus der Industrie – was funktioniert, was scheitert und warum. Im Fokus: konkrete Learnings für bessere Entscheidungen in Predictive Maintenance, Condition Monitoring, IT/OT-Integration, Edge/Cloud, Datenarchitektur, OT-Security und digitale Services. Madeleine Mickeleit („Mrs. IoT“) und Co-Host Dr. Peter Schopf analysieren mit Anwendern und Umsetzungspartnern, welche Entscheidungen in Architektur, Integration und Betrieb den Unterschied machen. Basierend auf dem IoT Use Case Ökosystem mit 350+ Use Cases, 80+ Partnern und 15.000+ Nutzern. Mehr: iotusecase.com

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IoT Use Case Podcast

#203 | OPC UA Forge: Unified Namespace for Legacy Factory Data | Prosys OPC & Casa Mendes Gonçalves

January 28, 2026 • Ing. Madeleine Mickeleit • Season 1 • Episode 203

0:00 | 31:49

www.iotusecase.com
#OPCUA #Semantics #UnifiedNamespace

In this episode of the IoT Use Case Podcast, host Dr. Peter Schopf talks with Jouni Aro, CTO at Prosys OPC, and with Luís Estriga, Head of Automation, and Vasim Tana, Automation Engineer, both at Casa Mendes Gonçalves. Focus: how OPC UA is evolving beyond a transport protocol and what it takes to implement it in a production-scale data stack.

Podcast Summary

Casa Mendes Gonçalves (Portugal) started its industrial digitalization with fragmented machine data and a largely manual, outsourced setup that made scaling to additional legacy and new equipment difficult. Key challenges were heterogeneous “machine dialects”, unreliable monitoring/alerting, and the lack of a unified view of OT data for operations, quality, and energy management—while keeping costs under control and retaining flexibility for own dashboards.

The team implemented an OPC UA–based architecture using Prosys OPC UA Forge as an aggregation server to build a unified namespace, bringing data from multiple systems into one OPC UA server and exposing it to Grafana. Data is collected at one‑minute intervals (≈500 data points/min) to enable dashboards, real-time alerts (e.g., cooling chambers, fermentation temperatures), and remote monitoring via VPN. The setup also supports next steps toward semantic information modeling to improve interoperability and prepare data for AI use cases.

For IT/OT decision-makers, the outcome is measurable: faster integration of heterogeneous assets, stable data access for analytics, and cost reductions such as identifying compressed-air leaks worth ~€28k/year—plus a roadmap toward internal GenAI/chatbot solutions based on reliable, contextualized factory data.

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Relevante Folgenlinks:

Peter (https://www.linkedin.com/in/peter-schopf/)
Jouni (https://www.linkedin.com/in/jouni-aro-34b4681/)
Luís (https://www.linkedin.com/in/luis-estriga/)
Prosys OPC UA Forge (https://prosysopc.com/products/opc-ua-forge/)

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