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SYSTEM ONLINE · v3.3.0 · 200+ symptoms indexed

Diagnose
kiln faults
in seconds.

Root cause · corrective action · reference values | kiln · cooler · raw mill · cement mill

Sample diagnoses
200+ Symptoms indexed
40+ Root causes
60+ Corrective actions
6/6 Plant sections
ClinkoIQ Expert

Senior cement process engineer · 25 yrs

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Live Diagnosis · Result Console

Structured output, no guesswork.

Severity · root cause · corrective procedure · references — every diagnosis returns the same shape, so your eyes always land in the right place.

DIAG-08421
Cooler · Zone 1 Run 04:17:22 UTC Latency 2.4s
Input Query
High clinker temperature with low cooling air pressure
SYSClinker Cooler ZONECompartment 1–3 ACTImmediate
Priority Action Execute within 15 min
Increase Zone 1 grate speed by 15–20% and verify Compartment 1–3 air damper positions — check for blockage or jamming.
01 Probable Root Causes — Fault Log 3 entries
RC-01 Insufficient cooling air volume in Zone 1 — fan speed below setpoint or damper partially closed 60%
RC-02 Grate speed too slow → excessive bed depth, reduced air penetration in cooling zone 25%
RC-03 Coarser clinker granulometry — check kiln burning zone & BZT 15%
02 Corrective Procedure 4 steps · ~45 min
01STEP
Increase Zone 1 grate speed by 10–15%; monitor clinker outlet temp every 30 min.
Bed depth target 200–250 mm
02STEP
Verify Compartment 1 & 2 air pressure; check fan speed at VFD.
Design 350–450 mmWG · Zone 1
03STEP
Inspect cooling air dampers in Compartments 1–3 for jamming or incorrect setpoint.
04STEP
After adjustment, monitor secondary & tertiary air temperatures.
SAT recovery > 950°C within 1–2 h
Why this recommendation? Engineer's note

Reasoning trace. The symptom pair (high clinker temp + low Z1 air pressure) most directly points at insufficient Zone-1 air volume. The recommendation prioritises grate-speed adjustment because it is reversible within minutes and directly modulates bed depth, which in turn governs air penetration through the cooling zone.

Damper inspection is sequenced second because it requires field access and may force a brief Zone-1 throughput reduction. Granulometry checks are deferred to step 04 (downstream verification) since they originate upstream and are slower to confirm.

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Follow-up diagnostics
Cement process engineering standards · Cooling system parameters
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Procedure · 04 Steps

From symptom to corrective action.

Same procedure every time — input, classify, prescribe, archive. Nothing improvised, nothing skipped.

~2.4s Median latency
Stage 01 01
Input · t=0

Describe the symptom

Type what you observe — temperature, vibration, strength drop, any process deviation. Free text or guided template.

Example input "Clinker temp 145°C, low Z1 air"
Stage 02 02
Classify · +0.4s

Classify & rank causes

Symptom is mapped to plant section, severity, and a ranked list of probable root causes with likelihoods.

Returns Severity · RC-01..03 · confidence
Stage 03 03
Prescribe · +1.2s

Prescribe corrective steps

Numbered procedure with reference setpoints, expected recovery times, and inspection targets.

Output 4 steps · setpoints · ETAs
Stage 04 04
Archive · optional

Save to plant log

Export PDF or save the diagnosis to your plant log for shift handover and post-mortem review.

Format PDF · CSV · plant log
Why ClinkoIQ · Engineer's brief

Built for the people who run the line.

Not a chatbot, not a generic LLM wrapper. A diagnostic instrument tuned to cement-process reality and the way engineers actually work a problem.

Engineered for Cement Process
Capability ClinkoIQ Generic AI chat
A1Ranked root causes with %
Yes
No
A2Numeric setpoints & ETAs
Yes
Generic
A3Built on cement-process DNA
Yes
No
A4Severity classification
Red / Amber / Green
Implied
A5Plant-log export & handover
PDF / CSV
Copy-paste
A6Process-anchored answers
Yes
None
A7Cement-process tuning
Native
Generic
Time to first action
2.4s
From symptom entry to first recommended corrective step.
−92% vs. manual lookup
Plant-knowledge coverage
200+
Indexed symptoms across 6 plant sections — quarry to dispatch.
Diagnostic confidence
87%
Median model confidence on top-ranked root cause across plant cases.

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