Can full lifecycle data integration actually change how we design infrastructure? (Student research from South Korea)

(Heads up — I'm a Korean scholar and my English isn't the perfect. I used a translator for this, so please forgive any awkward phrasing!)

**A bit about why I'm posting:**

That is really our senior commencement challenge. Our professor uploaded the video to the Korean Society of Civil Engineers' YouTube channel. In case you discovered this attention-grabbing in any respect, a view and a like can be drastically appreciated — it might imply the world to us! 🙏

I'm a civil engineering scholar. Our staff of 6 simply completed a nationwide competitors challenge, and I needed to share it right here as a result of it touches on one thing I feel architects and engineers cope with continually — the hole between BIM as a visualization device and BIM as an precise decision-making device.

**The issue we tried to unravel:**

In most initiatives we studied, 3D fashions are superbly detailed, however the information inside them not often influences actual selections throughout the challenge lifecycle. Design information doesn't move into building administration. Building information doesn't feed again into upkeep planning. Everybody generates information, however no person connects it.

**Our method — Built-in Infrastructure Information Platform (IIDP):**

For the design section, we targeted on making information really drive selections:

– Standardized information fields primarily based on worldwide requirements, embedded immediately into mannequin households so each factor carries structured data from day one

– Machine studying fashions educated on 11,000+ building datasets to suggest optimum bridge sorts primarily based on website situations

– Pure language search throughout 354 design code paperwork — as an alternative of flipping by means of pages manually

– Automated design placement pushed by optimization outcomes — no guide re-entry wanted

For building, we built-in timeline scheduling (4D) and value monitoring (5D) concurrently, with automated high quality inspection and lifecycle price threat simulation.

For upkeep, we constructed a Digital Twin prototype — mapping IoT sensors to 3D coordinates for real-time structural well being monitoring, plus carbon emission monitoring for ESG compliance

(Subtitles/CC can be found on the video!)

Video: https://youtu.be/iNoD_FwExnU

**Query for this group:**

Do you see data-driven design determination instruments turning into commonplace in observe? Or is the business nonetheless largely in a "3D mannequin = sufficient" mindset?

I at all times wish to continue to grow. Sincere suggestions, constructive criticism, issues we utterly missed — all welcome!