Well-chosen engineering controls are easier to fund when air data shows the problem and the impact of a fix. A short, structured measurement plan can turn assumptions into clear evidence.

Collect a credible baseline

Map key points: at-source tasks (cutting, grinding), worker breathing zones and welfare thresholds. Log PM10/PM2.5 and, where relevant, task duration. Add notes on doors, weather and crew size. Keep at least a week of representative data to avoid one-off anomalies.

Run a quick intervention trial

Choose the largest contributor to airborne particulate and trial a control: on-tool extraction, additional LEV, or an air scrubber. Verify airflow under load, not free-air. For enclosed fit-outs or redecoration phases, a MAXVAC Dustblocker can be trialled to stabilise background levels while you refine at-source capture.

Quantify improvement and cost

Compare average and peak readings before and during the trial. Convert the reduction into fewer exceedances, fewer stoppages and less cleaning time. Record any changes in nuisance reports (coughing, irritation) and near-misses. Set out running costs (filters, energy) alongside savings in rework and delays.

Align with compliance

Reference COSHH and HSE WELs where relevant (e.g., 0.1 mg/m³ for respirable crystalline silica) to show that controls reduce risk at source rather than relying on PPE. Note filter class choices: H13/H14 HEPA for fine or carcinogenic dusts; use H14 where required.

Package the case

Present a one-page summary: baseline, intervention, verified reduction, cost-to-run and next steps. Include photos of placement and a plan to embed the control (maintenance, filter changes, checklists).

Practical takeaways

• Measure baseline air quality at fixed points and typical tasks.
• Trial one control at a time and verify airflow under load.
• Use monitoring to show fewer peaks, stoppages and clean-downs.
• Link to COSHH and WELs to demonstrate risk reduction at source.
• Document maintenance to protect performance over time.

Decisions backed by air data are clearer, faster and more defensible—especially when monitoring and a targeted unit work together from the outset.