false alarm reduction
play

false alarm reduction Raman Chagger Principal Consultant, Fire - PowerPoint PPT Presentation

Research into multi-sensor detector capabilities and false alarm reduction Raman Chagger Principal Consultant, Fire Safety Group, BRE FIREX, 20 th June 2018 Part of the BRE Trust Introduction Losses from false fire alarms ~1 billion/year


  1. Research into multi-sensor detector capabilities and false alarm reduction Raman Chagger Principal Consultant, Fire Safety Group, BRE FIREX, 20 th June 2018 Part of the BRE Trust

  2. Introduction – Losses from false fire alarms ~£1 billion/year in the UK – False alarms have consequences: • FRS – drain on/diverted resources • Businesses – disruptions/loss of productivity • Public - reduced confidence/frustration • Road traffic accidents

  3. False alarm studies Study 1: The causes of false fire alarms in buildings Study 2: Live investigations of false fire alarms

  4. False alarm studies Study 1: KCL 6 recommendations Potentially 49.5% reduction through the greater use of multi-sensors. Study 1: BMKFA Potentially 27.0% reduction through the greater use of multi-sensors. Study 2: SFRS 35 recommendations Potentially 35.1% reduction through the greater use of multi-sensors.

  5. Multi-sensor detectors Heat – Multi-sensors utilise a number of Optical smoke sensors to provide more reliable Carbon Monoxide detection – Research with SFRS identified that no false alarms were caused from multi-sensor detectors – One of the recommendations “Further research is required to identify multi- sensors performance variabilities and capabilities ”. – As well as greater reliability fire sensitivity levels can be increased reducing detection times . Photo courtesy of Tyco Fire Protection Products

  6. Optical/heat multi-sensor detector research – The BRE Trust, 12 manufacturers and the Fire Industry Association started a 3 phase research project – Phase 1: Review of multi-sensor capabilities and variabilities. Identify tests – Phase 2: Performing a broad range of test fires (compare with optical) – Phase 3: Performing a broad range of common false alarm tests to identify multi-sensor immunity. – Aim of identifying relative benefits of multi-sensors over optical detectors

  7. Video

  8. Phase 1: Identification of false alarm tests Dust (long term) Dust (short term) Smoke from cooking Steam Condensation Aerosols (hairspray/deodorant) Smoke from toaster Cigarette smoke Synthetic (smoke machines) Insects Thermal shock Apparatus for the Test of Fire Detectors in Dusty Environments (AUBE14_S09P02)

  9. Phase 1: Identification of false alarm tests Dust (long term) Dust (short term) Smoke from cooking Steam Condensation Aerosols (hairspray/deodorant) Smoke from toaster Smoke from cooking Cigarette smoke 2.0 1.8 Synthetic (smoke machines) 1.6 1.4 Insects m (dB/m) Test 1 1.2 1.0 Test 2 Thermal shock 0.8 Test 3 0.6 Test 4 0.4 0.2 Test 5 0.0 600 800 1000 1200 Time (sec)

  10. Phase 1: Identification of false alarm tests Dust (long term) Dust (short term) Smoke from cooking Steam Condensation Aerosols (hairspray/deodorant) Smoke from toaster Cigarette smoke Synthetic (smoke machines) Insects Thermal shock Apparatus for the Test of Fire Detectors in High Foggy Environments (AUBE14_S09P02)

  11. Phase 1: Identification of false alarm tests Dust (long term) Dust (short term) Smoke from cooking Steam Condensation Aerosols (hairspray/deodorant) Smoke from toaster • Aerospace standard AS8036 Cigarette smoke (2013-12) Synthetic (smoke machines) • Cargo Compartment Fire Insects Detection Instruments Thermal shock

  12. Phase 1: Identification of false alarm tests Dust (long term) Dust (short term) Smoke from cooking Steam Condensation Aerosols (hairspray/deodorant) Smoke from toaster Cigarette smoke Smoke from toast 3.0 Synthetic (smoke machines) 2.5 Insects 2.0 m (dB/m) Test 1 Thermal shock Test 2 1.5 Test 3 1.0 Test 4 0.5 Test 5 0.0 300 350 400 450 500 550 600 Time (sec)

  13. Phase 1: Identification of fire tests Utilised the methodology from previous work into test fires Test fire m:y Δ t (dB/m) (°C) ABS (S) 3.04 2.9 Flame retardant PU foam (S) 1.88 2.5 TF2 Wood (S) 1.08 1.8 TF3 Cotton (S) 0.528 2.0 TF4 PU foam (F) 0.235 21 TF5 N-heptane (F) 0.168 35 TF8 Decalin (F) 0.25 6 Nylon (F) 0.168 5 Flame retardant PU foam (F) 0.094 5 TF1 wooden crib (F) 0.079 24 (F) = Flaming; (S) = Smouldering

  14. Phase 2: Fire tests – 36 types of different optical heat multi-sensor detectors tested alongside 2 reference optical smoke detectors – Multi-sensors categorised in terms of their false alarm immunity

  15. Phase 2: Fire tests (PU Foam example)

  16. Phase 2: False alarm tests (Toast example)

  17. Phase 2: False alarm tests (overview) 248% 250% Multi-sensor response normalised to optical (%) Multi-sensor detector average 216% 207% Optical smoke devices average 191% 200% 182% 150% 100% 50% 0% Toast (dB/m) Cooking (dB/m) Water mist Dust (dB/m) Aerosol (sec. (dB/m) dB/m) False alarm test

  18. Phase 2: False alarm tests (overview)

  19. Conclusion - Research has demonstrated that multi- sensor detectors can have the same response to fire but delayed response to false alarms - The performance is dependent on the sensitivity levels - FIA and BRE are working to intending to develop a Loss Prevention Standard for False Alarm Resistance - FIA guidance on false alarm reduction available from: http://www.fia.uk.com/cut- false-alarm-costs.html - BRE briefing papers (+ videos) are available free of charge from: http://www.bre.co.uk/firedetectionresearch

  20. Thanks S. Brown Consulting Services Ltd Thanks to UBM for use of images in this presentation

Recommend


More recommend