{"id":15945,"date":"2025-06-12T07:19:23","date_gmt":"2025-06-12T05:19:23","guid":{"rendered":"https:\/\/clients.triloogia.ee\/proekspert\/wp-new\/?post_type=case-study&p=15945"},"modified":"2025-08-14T08:22:20","modified_gmt":"2025-08-14T06:22:20","slug":"enabling-scalable-data-streaming-for-rd-innovation","status":"publish","type":"case-study","link":"https:\/\/clients.triloogia.ee\/proekspert\/wp-new\/case-studies\/enabling-scalable-data-streaming-for-rd-innovation\/","title":{"rendered":"Enabling scalable data streaming for RD&E innovation"},"content":{"rendered":"\n
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Challenge: Integrating RD&E test data efficiently<\/h2>\n\n\n\n

Danfoss Climate Solutions\u2019 RD&E test labs, including those within the Controls and Thermal Management (CTM) division, generate valuable data to support product and process improvements. The team needed an efficient way to collect and transfer results from multiple test machines to central data systems for analysis and ongoing research.<\/p>\n\n\n\n

Their existing Ignition SCADA setup, while important for daily test operations, did not offer a built-in method to stream data to Kafka. This made it difficult to scale data integration for future RD&E projects. The goal was to find a practical, admin-friendly solution focused on RD&E needs \u2013 one that would not require changes to live production environments.<\/p>\n\n\n\n

Solution: Custom Ignition module for test data streaming in RD&E <\/h2>\n\n\n\n

To support RD&E teams with reliable access to test results, Proekspert piloted a custom module for Ignition SCADA, specifically designed for test environments. The module connects multiple lab machines to a central Kafka system using admin-configurable streaming. Integration with Ignition leverages the platform’s tag-based architecture \u2013 by subscribing to tag change events, the module detects updated test data across a variety of lab devices.<\/p>\n\n\n\n

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Configuration is managed through an admin-facing interface, built using Apache Wicket, that allows lab specialists to set up Kafka connection parameters, define topics, and adjust critical policies (security, retries, timeouts) without needing specialist coding skills. Rather than introducing new data formats, the pilot made use of the client’s existing Avro serialization, working with their team to ensure seamless compatibility with downstream analytics platforms and Confluent’s Schema Registry.<\/p>\n\n\n\n

Results: Proof-of-concept findings and technical learnings <\/h2>\n\n\n\n

The proof-of-concept demonstrated how custom data streaming from RD&E lab devices to Kafka can be implemented and tested within the Danfoss Climate Solutions environment.<\/p>\n\n\n\n

Specifically, the project: <\/p>\n\n\n\n