Why break prediction needs 90 seconds, not 9
Lead time is the entire product. We walk through why a model that detects a break as it happens is an expensive event log, and what it takes to get usable warning from web-monitoring signals.
We publish when we learn something a process engineer would find useful — including the things that did not work. No thought leadership, no AI futurism.
Live example: Grade change PM4 · 135 gsm kraftliner → 110 gsm testliner, no break, ≤14 min off-spec
Ordered newest first.
Lead time is the entire product. We walk through why a model that detects a break as it happens is an expensive event log, and what it takes to get usable warning from web-monitoring signals.
The standard grade-change sequence creates an avoidable moisture excursion because the dryer section unloads faster than the header can follow. Here is what 48 twin candidates found instead.
What actually changed crew attitudes during our first supervised-write deployment — and it was not accuracy.
How often to correct a machine twin against real reels, and how to avoid a twin that perfectly predicts the past.
Why tightening moisture 2σ has to come before moving the mean, and what happens when mills try it the other way around.
What actually has to be true in the perception pipeline when the web moves 20 metres per second.
Why we keep every override, and how crew rejections became our best training signal.
It needs the existing charge and turbidity signals used against a live model instead of a fixed recipe.
A walkthrough of the six layers a recommendation passes before it reaches the DCS, with the failure modes for each.
We use one worked example across the blog so comparisons stay honest.
Mill Orchestrator — Pulled the 110 gsm testliner spec, customer tolerances and the standing energy budget from mill MES; locked the target envelope for the run.
Mill Orchestrator — Simulated 48 candidate transition recipes on the as-run paper-machine twin — forming, press, dryer and calender — and ranked them on off-spec tonnes, break risk and steam.
Pulp-and-Stock — Stepped refiner specific edge load 1.9 → 1.4 Ws/m and pushed freeness toward 412 CSF while consistency held at 3.4%.
Wetend-and-Chemistry — Retention aid trimmed to 214 g/t and sizing to 1.1 kg/t against live charge and turbidity; first-pass retention recovered to 78% inside 90 seconds.
Form-and-Press — Re-cut the slice profile across 78 actuators and set jet-to-wire to 0.994 to hold formation index through the basis-weight ramp.
Form-and-Press — Nip load reduced 620 → 540 kN/m to protect the lighter web; post-press dryness landed at 47.1%.
Dry-and-Coat — Re-phased the steam schedule across 6 dryer groups and rebalanced the hood; reel moisture converged to 7.4% ±0.19 2σ at 6.1% less steam than the standing recipe.
Defect-and-Inspect — 18 line-scan cameras streaming; two edge-crack precursors detected at the drive side and cleared by a 40 kN/m nip trim before either propagated.
Mill Orchestrator — Speed ramp 1,180 → 1,245 m/min exceeded the site autonomy threshold. Held for the machine tender; approved by J. Okonkwo at 04:57:12.
Quality-and-Conformance — Reel R-24188 released: full genealogy written (furnish, chemistry, CD profiles, defect map, operator actions) and checked against grade spec.
Every tool invocation, argument and result is written to an immutable, human-readable log — and every reasoning step is expandable. Nothing about a run is hidden from the mill.
Plan → thought → action → observation, exactly as the orchestrator recorded it.
Move PM4 from 135 gsm kraftliner to 110 gsm testliner with zero breaks and under 14 minutes of off-spec production.
Simulate the transition on the twin first. Lead with stock and chemistry so the furnish is right before the basis weight ramps, then trim forming and press, then re-phase drying. Watch the web continuously; hold the speed ramp for a human.
The standing recipe drops basis weight and speed together. On the twin that produces a 3-minute moisture excursion because the dryer section unloads faster than the steam schedule can follow. Sequencing the steam re-phase ahead of the basis-weight ramp removes it.
twin.simulate(candidates=48) → recipe #31 re-phases steam 40 s before the basis-weight ramp and holds nip load until post-press dryness confirms.
Recipe #31 estimates 6.4 t off-spec against 9.8 t for the standing recipe, with break risk 0.07. Two candidates scored lower on steam but raised break risk above the 0.15 site limit and were discarded.
Execute recipe #31 under autonomy level L3: nine setpoint writes permitted, speed ramp routed to the machine tender.
Edge-crack precursor at 1,412 mm drive side at 04:56:41. Nip trim of −40 kN/m in press-2 cleared it in 16 s without a break.
Run complete in 11 m 42 s. 6.2 t off-spec, zero breaks, 6.1% less dryer steam than the standing recipe. Reel R-24188 released with full genealogy.
Multi-part writing on the harder subjects.
Snapshotting a machine, choosing the physics that matter, correcting against real reels, and knowing when the twin is wrong.
Camera synchronisation, model optimisation with TensorRT, and what changes when you deploy to a machine rather than a benchmark.
From advisory to bounded writes: the policy model, the approval design, the crew conversation and the two rollbacks we did.
Six recurring threads.
Camera pipelines, defect classification, precursor modelling and the latency budget.
Freeness, retention, formation, drainage, drying and the physics behind each control move.
Policy engines, approval design, audit logging and what earns a crew's confidence.
As-run correction, candidate scoring, risk limits and where simulation stops being useful.
Dryer section economics, hood balance and the difference between margin and spec.
What actually happens between the rack arriving and the first supervised write.
A mill does not go from manual to unattended in one step. Pulpum makes the level explicit, auditable and reversible at any time.
| Level | What the agent does | What the human does | Typical time to reach |
|---|---|---|---|
| L1 · Advisory | Recommends setpoints and explains why | Enters every change manually | Week 1 |
| L2 · Supervised | Proposes a write; it executes on approval | Approves each write in the HMI | Week 3–6 |
| L3 · Bounded | Writes inside tag, rate and magnitude limits | Approves ramps and grade releases | Month 2–4 |
| L4 · Unattended | Runs the envelope without prompting | Sets the envelope; reviews the shift record | Month 6+ [ASPIRATIONAL] |
Autonomy earns trust one shift at a time. These are design-partner quotes from pilot deployments [ASPIRATIONAL].
"The first thing that convinced the crew wasn't the control — it was the log. You can scroll back and see exactly why it dropped the nip. Nobody argues with a timestamp."
Machine tender · PM4 · Nordkraft Mills
"We had two people who could do a clean 135-to-110 transition. One retired in March. The twin now does the sequencing and the second one supervises it."
Production manager · Aurora Board
"Break prediction was the wedge. Ninety seconds of warning is the difference between a nip trim and four hours of threading."
Process engineer · Ternvik Paper
The numbers behind the writing [ASPIRATIONAL].
Figures are design targets and pilot-scoped results [ASPIRATIONAL]. Every number is reproduced from the mill's own reel genealogy, not our telemetry.
Pulpum writes to production equipment. Every capability is scoped, every write is policy-checked, and every action is written to an append-only audit log the mill owns.
| Standard | Scope | Status |
|---|---|---|
| SOC 2 Type II | Cloud control plane | RUNNING In progress [ASPIRATIONAL] |
| ISO 27001 | Company-wide ISMS | QUEUED Planned [ASPIRATIONAL] |
| IEC 62443 | Mill-edge OT security | RUNNING Design-aligned |
| GDPR | Operator data | SUCCEEDED Compliant |
| ISO 9001 / FSC | Quality + chain of custody records | SUCCEEDED Supported |
Pulpum reads and writes through the systems already on the floor. No rip-and-replace, no parallel historian, no new HMI to learn.
Valmet IQ, ABB 800xA QCS, Honeywell Experion MX
Profiles, scans, lab results
ABB 800xA, Valmet DNA, Honeywell Experion, Siemens PCS 7
Setpoint reads and guarded writes
WIS/WMS line-scan, IR and transmission cameras
Frames, defect maps, break replays
SAP PP/QM, ABB cpmPlus, custom historians
Orders, grades, reel genealogy
OSIsoft PI, Aspen IP.21, InfluxDB
Time-series backfill and replay
NVIDIA Isaac, winder and wrapper PLCs
Reel, roll and clamp-truck motion
Azure AD, Okta, on-prem LDAP
SSO, RBAC, named approvers
NVIDIA Jetson Orin, IGX, on-prem GPU
Sub-100 ms inference at the machine
The questions mill managers and process engineers actually ask in the first meeting.
Yes, but only within an explicit tag allow-list with per-tag rate and magnitude limits, and only at the autonomy level your site has set. Level 1 is advisory-only: Pulpum recommends and a human enters everything. Most mills spend their first weeks there before enabling supervised writes.
Control returns to the DCS last known-good state within one scan cycle. Pulpum is designed as a supervisory layer on top of your existing control system, never as a replacement for it, so a Pulpum outage degrades the mill to its current way of running — not to a stop.
Break prediction and defect classification typically need 8 to 12 weeks of QCS, DCS and inspection history per grade family, plus labelled break events. Advisory recommendations start in week one from the physics-based twin, and improve as mill-specific history accumulates.
Only if you choose cloud training. Recipes, grade models and defect libraries are tenant-isolated and never used to train another customer's models. A fully on-prem deployment with an air-gapped mill edge is available for sensitive producers.
You are, the same as with any control strategy — which is why every write is policy-checked, bounded, logged and reversible, and why anything above your risk threshold waits for a named approver. The audit log records the request, the reasoning, the limits applied and the human decision.
A 90 to 120 day mill-edge deployment on one paper machine, scoped to a single workflow with a pre-agreed baseline [ASPIRATIONAL]. Weeks 1–3 are connection and shadow-mode observation; weeks 4–8 advisory; weeks 9+ supervised or bounded writes if the mill is satisfied with the recommendations.
We send a short note when something substantial is published. No newsletter cadence, no drip campaign.
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