Process, quality, and energy optimizationPQ-001

Moisture-tolerant online raw-mix control

CEMMAC · Portland cement plant, Slovakia · 2008-2009

Use this record when

The decision this case can inform

Use this record when raw-mix control is unstable because the analyzer or sample presentation is sensitive to moisture and material heterogeneity.

Evidence scope

Named industry implementation report. It documents equipment, timing, and achieved LSF control but omits baseline variability and independent verification.

Source-supported facts

What the public record actually establishes

4 sourced points
  1. F1

    CEMMAC managed three quarry zones, and marl moisture undermined the previous contact-based analyzer.

  2. F2

    A non-contact near-infrared analyzer and raw-mix proportioning optimizer were installed; the analyzer entered service in February 2008 and the revised strategy in February 2009.

  3. F3

    The control strategy explicitly accounted for moisture rather than treating the measurement as dry and stable.

  4. F4

    The report states that each 180-tonne mixing-bed segment achieved an LSF target of 80 ±5.

Structured interpretation

Facts and reported results are kept separate from the lesson a plant may choose to test.

01

Operating context

Moisture variation in marl undermined a contact-based sampling system and LSF often exceeded the upper process limit.

02

Intervention or finding

Online near-infrared analysis and a raw-mix optimization strategy accounting for moisture were installed.

03

Documented result

Industry report says the system achieved LSF 80 +/-5 for each 180-tonne mixing-bed segment.

04

Plant interpretation

Verify the measurement principle under real moisture and material-presentation conditions before closing the control loop.

05

Transfer boundary

Baseline variability and independent verification are not published.

Before applying the lesson

Questions to verify at your plant

These are decision checks, not operating instructions. Resolve them through local risk assessment, technical review, and authorization.

  1. 01

    Does the analyzer measurement principle remain valid across real moisture, particle size, bed depth, and presentation conditions?

  2. 02

    How are analyzer bias and drift reconciled with representative laboratory samples?

  3. 03

    Is target performance measured by bed segment, time period, and quarry condition rather than by a broad monthly average?

  4. 04

    What safe fallback governs proportioning when the online measurement is unavailable or implausible?