Digital Twin of Building Construction: Talk to it in Plain English

Construction projects continuously generate massive amounts of operational data — from temperature and energy use to workforce safety and equipment efficiency. Yet, extracting meaningful insights from this information often requires complex SQL queries and manual analysis.

In this demo, we showcase how DKube QueriLynx, our reference solution blueprint, enables anyone to interact with a construction project’s digital twin using plain English — no database or SQL expertise needed.

Ask questions like:

• “Which week had the highest temperature recorded?”
• “How many safety incidents occurred during each day of the first week of January?”
• “For the last 7 days of January, compare daily averages of energy consumption.”

QueriLynx automatically interprets these natural-language questions, generates accurate SQL, executes them on the connected dataset, and returns clear visual insights — turning complex data into simple, factual answers.

Discover how DKube QueriLynx makes construction performance data accessible, explainable, and interactive — bringing you closer to your digital twin, one question at a time.

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