Kontakt

Data Integration and Processing

Read more about it
Data Integration and Processing -1

Service description

The service tests, benchmarks, and validates real time industrial IoT (IIoT) data pipelines, SCADA integration, and telemetry streaming via Node RED and OPC UA for smart manufacturing and bioprocess automation. In our Biosolutions Lab, we evaluate data ingestion latency, broker throughput (MQTT/Kafka), and seamless connectivity with analytics platforms such as PowerBI, ML inference pipelines, and spectroscopic sensors. The purpose is to help processing enterprises and machine builders eliminate operational data silos, reduce pipeline latency by up to 50 percent, and build robust data streaming architectures for real time AI quality monitoring and predictive control.
Forventede resultater:

Validation of data integration tools and reporting systems with documented results and recommendations for implementation in existing workflows and further use of analytics and AI tools.

Metodologi:

The service is delivered as a test and validation process including setup and testing of SCADA data integration via Node-RED, assessment of data flow and compatibility with analytics tools, and delivery of documented results and recommendations for implementation in existing workflows.

Mål:

Biosolutions, Biotechnological processes, SCADA-based production environments, Data-driven process optimization, Other emerging and enabling technologies

  • Organization: DTI
  • Type: Test
  • SUT/E: Real time data integration, SCADA connections, data flows, and analytics tools for biosolutions and process environments. Customers must provide technical communication endpoint parameters (OPC UA server URLs, MQTT broker access, Modbus TCP IP addresses, or REST API keys), PLC and SCADA tag dictionary lists, sample payload data schemas (JSON or CSV formats), and network security guidelines (firewall ports and TLS certificates) if live remote telemetry streaming is tested.
  • Average duration: 20-60 hours
  • Contact us: thkr@teknologisk.dk

Enhance your manufacturing project with AI technologies