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VIDEO FIRE DETECTION

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Title: VIDEO FIRE DETECTION


1
  • VIDEO FIRE DETECTION
  • Chicago SFPE

2
NFPA 72 -2007 Chapter 5
  • Recognizes Use of Flame Smoke VID Systems
  • Flame VID Classified as Radiant-Energy Sensing
    Detector
  • Performance-based design approach
  • In accordance with Manufacturers Instruction
  • Minimal Appendix Material
  • UL Modified UL268 Special Application
  • FM Uses FM 3260 and UL 268.
  • Property/Business Continuity vs. Life Safety

3
NFPA 502 2008 Edition
  • Chapter 7 Road Tunnels
  • 7.4.1 At least two systems to detect, identify,
    or locate a fire in a tunnel shall be provided,
    including one manual means meeting the
    requirements of 7.4.1.2 and either a closed
    circuit television (CCTV) system in accordance
    with 7.4.1.3 or an automatic fire detection
    system in accordance with 7.4.1.4

4
NFPA 502 2008 Edition
  • 7.4.1.3.1 CCTVs with or without traffic-flow
    indication devices will be permitted to indentify
    fires in tunnels with 24 hour supervision.
  • 7.4.1.4.6 CCTV systems used for automatic fire
    detection shall be permitted when listed for the
    intended purpose and installed in accordance with
    the manufacturers requirements and NFPA 72.

5
Tunnel Fire Blocked
6
What is Video Smoke and Fire Detection?
  • Uses visible spectrum spatially resolved video
    images from stationary cameras
  • Analyze each frame pixel by pixel
  • Uses analytic process designed to identify
    characteristics of flames and/or smoke
  • Outputs alarms and video to user interface

7
Detection Algorithms
  • Detection Alarms
  • Flames (combustion in open air)
  • Reflected Fire light
  • Smoke
  • Motion detection
  • Trouble
  • Image change
  • Loss of camera
  • Poor image (dirty, low light, out of focus)
  • Supervisory
  • System crash
  • Loss of power

8
Flame Detection
9
Reflected Fire Light Filter
Correlation DSP filter takes out all residual
light, leaving only light that is originated from
flames.
10
RFL Implementation
11
Excitation/Aging Filter
12
Smoke Detection
13
Motion Detection
  • Motion detection is a byproduct of analysis
  • Generally not as sophisticated as security
    analytics
  • Can be tied to image location and schedule

14
IP Network Camera
15
SpyderGuardTM
  • Simple but robust monitoring software application
  • Functions on a standard PC workstation
  • Provides video surveillance, fire safety
    monitoring, and allows configuration of an
    unlimited number of FSM-8 units
  • The software is not centered around the cameras,
    but rather around the assets under protection
  • View the condition that caused the alarm
  • Receive an audible voice warning
  • Locate the event on building and site plans
  • Coordinate response efforts

16
Security Touchscreen
  • Functions on a standard PC workstation
  • Allows video surveillance, fire safety monitoring
  • View the condition that caused the alarm
  • Receive an audible warning
  • Locate the event on building and site plans
  • Coordinate response efforts

17
System Architecture
18
2007 North American Fire Smoke Detection
Devices Technology Leadership Award
19
Factory Mutual Approved
  • Only System approved as a Smoke and Fire detector
  • Modified - UL / ANSI 268
  • Modified - FM 3260
  • Environmental testing
  • Humidity
  • Vibration
  • Durability and Stability
  • Temperature

20
Challenge
  • Conventional detection methods are not suitable
    for many of the environments requiring protection
  • The nature of these detectors makes the severity
    of a nuisance alarm greater due to limited
    situational awareness
  • Codes mandate that fire equipment be installed
    for life safety and to prevent conflagration

21
DOE Fire Hazards Analysis
  • FHAs for high bay locations should consider the
    effects of smoke/hot gas stratification that may
    occur at some intermediate point below the roof
    or ceiling as well as the potential for delayed
    sprinkler response

22
Conventional detectors
  • Ionization
  • Photo-electric
  • Air aspiration
  • Heat Detectors
  • Beam detectors
  • Linear heat detectors
  • Delayed Detection
  • Transport times
  • Sensitivity levels
  • Nuisance Alarms
  • Lack of situational awareness
  • Severity of Nuisance event
  • Source Bias
  • Small or large smoke particles
  • Architecture and Implementation
  • Piping, wiring, coverage
  • Application Specific

23
Current Scenario
24
UL Fire Lab Tests
25
Distribution Center
26
Distribution Center
27
Smoke Detection
28
Smoke Detection
29
Turbine Deck
30
  • Environment
  • Ventilation
  • Dirtiness
  • Obstructions
  • Lighting
  • System Type
  • Camera Settings
  • FOV
  • Sensitivity
  • Delays

31
Dominion Energy Kincaid StationFlame test
32
Dominion Energy Kincaid Station Smoke Test
33
Dust Detection
34
Hot Work
35
Hydroelectric facility
36
Spent Fuel Rod Pools
37
Hangars
38
Satellite Assembly
39
Substation
40
Outdoor Flame
41
Outdoor Smoke
42
Camera Layout
150 ft
300 ft
43
Camera Layout
150 ft
300 ft
44
Risk Management of Fire
  • The risk of fire is equal to
  • Probability of a fire
  • X
  • Loss associated with that fire

45
Fire Loss
For example, while a lube oil fire under the
operating deck of a 200 MW steam
turbine-generator without a properly designed
fire protection system is expected to cause
property damage in the 10-13 million range with
a six-month downtime, the same fire with a
properly designed fire protection system would
not be expected to exceed 2 million in damage,
with less than four weeks of downtime. While that
still sounds like a considerable loss, it is much
better than the first scenario. Power
Engineering MagazineFire Protection Decisions
Pit Cost Against Risk Exposure Dominique
Dieken
46
Self Insurance
  • As higher insurance self-retention limits, up to
    10 million, are assumed by some owners and
    operators, interest in fire protection and loss
    control appears to be increasing in the industry.
    These higher "deductibles" mean that owners and
    operators are assuming more out-of-pocket risk
    while insurance underwriters may be less
    concerned about the level and quality of fire
    protection than before. This change in risk
    position is increasingly attracting management's
    attention to fire protection
  • Power Engineering MagazineFire Protection
    Decisions Pit Cost Against Risk Exposure
  • Dominique Dieken

47
ROI
  • Fire Happens - .5 (Once every 200 unit years)
  • Early warning avoids 10 million in damage
  • .005 x 10 million 50,000
  • SigniFire System - 8 Cameras installed 50,000
  • Simple payback is approximately one year
  • Use the system everyday to enhance security and
    operating efficiencies

48
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49
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50
  •   The recent addition of the axonX SigniFire
    smoke and fire network cameras have helped
    provide an early warning detection system of the
    plants most critical running processes.  The
    SigniFire network camera and SpyderGuard software
    combination is the most innovative and effective
    solution to early warning fire detection in the
    industry".
  • Bruce Nedau
  • Manager Protective Services
  • Pratt Whitney
  •  

51
  • We decided to install this state of the art
    protection system to provide an additional safety
    net for our business and associates.  We are very
    pleased with the simplicity of system and the
    capabilities that it provides.
  •                                           
    Jim Morris                                     Ge
    neral Manager
  • Marriott Textile Services                   
                      Edison, NJ
  •  

52
Mitigating Nuisance Alarms
  • Sensitivities
  • Blocking or Detection Zones
  • Delays
  • Cross Zoning
  • Schedules
  • Commissioning Period

53
Marriott
  • 8 Camera System attached to horn and strobe
  • Monitored onsite and with remote access

54
Advantages
  • Volume Detection
  • Large coverage area
  • Situational awareness
  • Continuous video recording
  • Standards and Listing
  • Fast detection
  • Cost
  • Nuisance rejection
  • Post event reconstruction
  • NFPA 72 FM

Provides a solution to fire and smoke detection
55
Video detection Scenario
Improved response time and situational awareness
Visual ID
911
Fast Detection
IP
Dry-contact
56
Questions and Contact Information
  • Questions, Comments, Words of Wisdom
  • Contact Information
  • Webpage www.axonx.com
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