Why it matters
Without it, cleaning gaps create fire risk, duct contamination, downtime, and missed regulatory checks, leading to disruptions, poor audits, and elevated safety concerns.
From design to safety
Design
AI design constraints for kitchen systems
The AI reads layout data, duct routing, canopy zones, ventilation loads, and fixed plant room configurations to define maintenance rules, sensor placement strategies, and recordkeeping needs across lifecycle.
- canopies
- grease filters
- ductwork
- extract fans
Build
Construction phase data integration
The AI ingests as-built drawings, mechanical schedules, TR19 standards, commissioning results, and supplier data sheets to validate cleanability, traceability, access, and future service pathways.
- canopies
- grease filters
- ductwork
- extract fans
Operation
Ongoing monitoring and scheduling
Sensors monitor particulate load, differential pressure, fan speeds, filter ages, and heat exposure; AI proposes cleaning dates, validates compliance, and maintains TR19 record integrity.
- grease filters
- ductwork
- extract fans
- TR19 cleaning records
Maintenance
Preventive maintenance automation
Maintenance plans adapt to readings, usage, past service, and seasonal kitchen cycles, producing work orders, updating lifecycle notes for each component, and preventing backlog.
- grease filters
- ductwork
- extract fans
- TR19 cleaning records
Safety
Fire risk and safety assurance
AI flags elevated residue, verifies fire dampers, checks suppression readiness, confirms access for responders, and retains evidence for audits and regulatory review.
- fire risk assessment
- TR19 cleaning records
- canopies
- extract fans
Part by part
- 1
canopies
- Watch for
- surface buildup on canopy underside; corrosion or heat damage where canopy seals meet walls; sagging frame joints.
- AI action
- read canopy heat, grease coating, seal integrity, and structural deflection; trigger cleaning and inspection.
- 2
grease filters
- Watch for
- filters nearing saturation; pressure rise or reduced airflow; visible grease on filter media; missing retention clips.
- AI action
- monitor differential pressure and airflow; schedule filter change and clip replacement.
- 3
ductwork
- Watch for
- progressive grease deposition and lint buildup in elbows; corrosion in joints; offset joints.
- AI action
- analyze air flow, temperature rise, and odor alerts; plan cleaning route and joint reseal if needed.
- 4
extract fans
- Watch for
- motor vibration, fan blade wear, bearing noise; imbalance in airflow; fan housing corrosion.
- AI action
- protect fan health by tracking RPM, vibration, filtration status; trigger service and blade inspection.
- 5
TR19 cleaning records
- Watch for
- gaps in scheduled TR19 clean dates or missing verification signatures; inconsistent scope.
- AI action
- validate cleaning history, generate compliant record entries, attach technician certifications.
- 6
fire risk assessment
- Watch for
- new hazards from residue accumulation; failed suppression system checks; blocked extinguishers.
- AI action
- flag risk level changes and require updated inspections; auto-generate corrective actions.
Worked example
Catching a grease-duct clog before a service shift
Illustrative scenario with sample data.
A boutique hotel kitchen detects rising duct pressure and reduced airflow after lunch service, risking smoke control performance.
Signal in
location: kitchen exhaust; duct: D12; sensor: pressure_ppm; value: 620; last_clean: 120 days; TR19: due; fire_safety: compliant
System out
Alert issued to Chief Engineer; work order created for ductwork inspection and filter replacement; TR19 record update queued; safety team notified.
Human sign-off: Chief Engineer approves the preventive maintenance work order and signs off TR19 record update.
How to roll it out
Phase 1
Weeks 1 to 4: Baseline
Install sensors, align data streams, and confirm TR19 record template; train staff on data entry and incident tagging.
Phase 2
Weeks 5 to 12: Validation
Run parallel schedules, compare guardrails, verify automatic work orders, and finalize audit-ready reports.
Phase 3
Weeks 13 to 20: Operational
Full automation with ongoing optimization, quarterly audits, and integration with PMS and purchasing for parts.
Where people stay in charge
- Decisions on safety-critical actions must be signed by the chief engineer or fire safety officer.
- All regulatory inspections and TR19 records must be reviewed and approved by qualified personnel.
- Maintenance schedules and sensor thresholds require documented justification in the property’s asset management system.
Questions owners and crews ask
What data does the AI monitor for kitchen extraction and ductwork cleaning schedules?
The AI monitors canopy condition, grease filter status, ductwork cleanliness, extract fan performance, TR19 cleaning records, and fire risk indicators to set cleaning intervals and maintain compliance.
Who signs off on cleaning schedules and TR19 records when issues arise?
The chief engineer or designated safety officer signs off on schedules and TR19 records, with periodic review by the general manager or asset manager.
How does AI handle unusual spikes in airflow or heat in the kitchen?
The system flags anomalies, recalculates cleaning intervals, triggers a maintenance ticket, and updates safety records while notifying the responsible engineer.
Can this AI integration automate regulatory reporting and audits?
Yes, it logs all inspections, filters replacements, and risk assessments, producing audit-ready reports and verifiable compliance trails.