Title: VIDEO FIRE DETECTION
1- VIDEO FIRE DETECTION
- Chicago SFPE
-
2NFPA 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
3NFPA 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
4NFPA 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.
5Tunnel Fire Blocked
6What 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
7Detection 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
8Flame Detection
9Reflected Fire Light Filter
Correlation DSP filter takes out all residual
light, leaving only light that is originated from
flames.
10RFL Implementation
11Excitation/Aging Filter
12Smoke Detection
13Motion Detection
- Motion detection is a byproduct of analysis
- Generally not as sophisticated as security
analytics - Can be tied to image location and schedule
14IP Network Camera
15SpyderGuardTM
- 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
16Security 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
17System Architecture
182007 North American Fire Smoke Detection
Devices Technology Leadership Award
19Factory 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
20Challenge
- 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
21DOE 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
22Conventional 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
23Current Scenario
24UL Fire Lab Tests
25Distribution Center
26Distribution Center
27Smoke Detection
28Smoke Detection
29Turbine Deck
30- Environment
- Ventilation
- Dirtiness
- Obstructions
- Lighting
- System Type
- Camera Settings
- FOV
- Sensitivity
- Delays
31Dominion Energy Kincaid StationFlame test
32Dominion Energy Kincaid Station Smoke Test
33Dust Detection
34Hot Work
35Hydroelectric facility
36Spent Fuel Rod Pools
37Hangars
38Satellite Assembly
39Substation
40Outdoor Flame
41Outdoor Smoke
42Camera Layout
150 ft
300 ft
43Camera Layout
150 ft
300 ft
44Risk Management of Fire
- The risk of fire is equal to
- Probability of a fire
- X
- Loss associated with that fire
45Fire 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
46Self 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
47ROI
- 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
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50- Â 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
- Â
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. - Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
Jim Morris                                    Ge
neral Manager - Marriott Textile Services                  Â
                  Edison, NJ - Â
52Mitigating 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
-
54Advantages
- 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
56Questions and Contact Information
- Questions, Comments, Words of Wisdom
- Contact Information
- Webpage www.axonx.com