IoT displacement sensor
10 Hz · 2026-09-25 09:14:02 HKT
signed · calibrated
Hong Kong ⇄ Shanghai BIM & Infrastructure Workshop · 25 September 2026
Traditional BIM digitises an asset. AI-native BIM creates trusted information that humans and machines can understand, evaluate, and act on together.
Add the workshop to your calendarChange the evidence · watch governance respond
A bridge is not a mesh. Every element below is a semantic object with a persistent identifier, an IFC class, a location on the alignment, and a chain of evidence attached to it. Select a component.
Most asset data is not wrong — it is unreadable. Between authoring tools, between disciplines, between the project and the operator, meaning collapses into names, layers and drawing notes. Switch on the four moves below and watch the same bearing become machine-readable.
Manual re-entry required — not AI-readable.
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Simulated workshop model. Figures show relative effect, not measured industry benchmarks.
Three independent records describe Bearing B-17. Before any AI is allowed to reason about them, four information gates are evaluated. Switch scenarios in the bar above to change the evidence.
10 Hz · 2026-09-25 09:14:02 HKT
signed · calibratedFinding: edge deformation, east bearing seat
signed · model v3.1Engineer C. Wong · revision P03 · 2025-11-08
approvedSTR-BRG-221 · R04Not a chat window. A decision contract: every material claim carries a citation you can click, an explicit uncertainty, a required professional authority, and a fingerprint of its exact inputs.
“Assess Bearing B-17 and recommend the next governed action.”
computing…DEC-2026-0925-A1Replaying unchanged information returns an identical fingerprint and decision ID.
Each agent has a narrow read scope, one writable output, and an explicit prohibition. Trusted evidence can produce only a draft. Nothing moves until a named professional authorises it.
Traceability means we can reconstruct which evidence, rule, model, agent and person produced every material decision — and prove that an untrusted input produced no action at all.
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Machine records stay in English: they are contracts between systems, not prose.
AI may reason and prepare actions only after information passes governance. Read the stack from the bottom up.
Discuss first. Open the answer second.
Classify each: the sensor value, the computer-vision defect, the risk level, the inspection action.
The sensor value is an observation. The visual defect is a model inference. The risk level is a governed assessment. The inspection action remains a recommendation until an authorised professional approves it.
Scenario D reports 7.6 inch where the approved contract requires millimetres. Should the system silently convert it?
No. Conversion does not repair an expired calibration or an unverified signature. Stop, withhold the recommendation, and request validated replacement evidence.
Which actions may AI prepare, and which require professional authority?
AI may draft notifications, inspections and work orders. An authorised professional must make safety declarations, impose traffic restrictions, approve expenditure, and dispatch work.
This Station simulates a bridge asset for teaching. The governance model it demonstrates is drawn from the open standards and public frameworks below.