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AI Architecture › L6 · Experience
L6 · Experience

Latency and Data-Staleness Indicators

Operators must always know how fresh what they are looking at is; the interface shows data age and freezes rather than extrapolating when a feed stalls.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L6 · EXPERIENCE & VISUALIZATIONHow people see, steer, and review the plant.1Control-Room 3D Twinlive overlays2Plant-Floor SCADAoperations HMI3Mobile Engineeringfield access4Alerting UXtriage & escalation5DashboardsKPIs & health6Replayincident reviewMACHINE TIESurfaces the L3 twin state and L5 copilots to human operators.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATOREXPERIENCE & VISUALIZATIONSHEET 08REV. 2026-08L6 · AI-NATIVE STACK
L6 · Experience & Visualization — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

A number without an age is a hazard

Every value on an operator surface has an age — the time since it was actually measured or computed — and a stale value that looks live is one of the most dangerous things an interface can show. Kronos L6 makes freshness explicit. Each panel knows the timestamp of its underlying data (from the PTP-disciplined L2 fabric) and surfaces staleness the moment it exceeds what that panel's decisions tolerate.

Freshness budgets per surface

SurfaceTolerated age before staleness shown
3D twin overlay / shapetens of milliseconds
Fast KPIs (current, plug density)tens to hundreds of ms
Slow process KPIs (cryo, vacuum trend)seconds
Mobile / off-console viewsseconds, with connectivity note

When a feed stalls, the panel freezes its last-known value and marks it stale rather than extrapolating a plausible-looking continuation — because a confident-looking guess is worse than an honest gap. The staleness badge shows how old the data is and, where relevant, why (source down, network gap, diagnostic dropped). On mobile, a connectivity gap always shows as staleness, never as a silently frozen dashboard.

Latency of the pipeline itself

Beyond per-value age, the interface exposes end-to-end latency of the observability path so the crew knows how far behind reality the picture inherently is. This is distinct from the hard-real-time control latency, which lives in L1; the L6 latency is the human-observation lag. Showing it keeps operators calibrated: a 50 ms-old overlay is fine for supervision but is not a substitute for the microsecond loops L1 runs.

Staleness ties directly into confidence and provenance — an imputed or stale input lowers an estimate's confidence — see provenance display. It also protects the shared video wall and mobile views from showing frozen truth.

Content reviewed August 2026 · design-and-simulation stage