customized fire detection for challenging applications customized fire detection for challenging...
TRANSCRIPT
“Customized fire detection for challenging applications”
Rick Jeffress CET, CFPS
Agenda
• Challenges of large volumes• Signifire Technology
Overview• Fire Videos• Listings and approvals• Performance Based
Design• SpyderGuard Overview • More videos• Live Fire Demo
Customers
Royal New Zealand Navy
Intro to Video Image Detection
• Based on Machine Vision (video analytics) technology
• Utilized in: manufacturing facial recognition inventory management product identification
True early detection technology is here….Old Technology New
Technology
Solution
• The most effective fire detection system is the human being, using visual identification of fire or smoke.
Solution
• Signifire uses visual imaging and artificial intelligence (machine vision) to emulate human fire recognition.
• “Trained” with 1000’s of real and false fires.
• Analyzes each frame of 480X640 pixels @15 frames/sec
• Scans 4.5 million datapoints (luma value)/second analyzing the image for signs of combustion 24/7/365.
Challenge
Detection device challenges for high ceilings:
1. Spot Smoke/Heat Detectors:
2. Beam detectors
3. Aspirating Systems
4. Linear Heat
Smoke must interact with detection device Installation, inspection and maintenance on high ladder, lift or scaffolding
Signifire can be installed lower than ceiling level and brings detection to the fire.
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Challenge
• Conventional detection devices are not suitable for many applications having large volume or high ceilings
• Stratification issues• Sprinkler systems designed for building
protection, require a large fire to activate• First responders require early, “actionable
intelligence” to avoid costly fire damage and injury.
• Cause of fires unknown – can rarely make changes to avoid future incidents
Customized Fire Detection
• Detection Algorithms Smoke Flame Reflected Fire Light Motion
• All included on camera• Individually enabled and adjusted
Detect or blocking zones Sensitivities Time delay (Alarm verification) Relay output On/Off schedules
Targeted Detection
Reduce False Alarms
Signifire Video Smoke and Fire Detection
• Uses visible spectrum video images from stationary cameras
• Analytic process identifies characteristics of flames and/or smoke
• Outputs alarms and video to user interface
Reflected Fire Light Filter
Filter removes residual light, leaving only light that is originated from flames.
RFL Implementation
Distribution Center Fire
Magnesium Plant
Excitation/Aging Filter
• Smoke Detection Algorithms
Smoke Signature Recognition
Smoke Aging (red-orange older, blue newer) for movement
Distribution Center Smoke
Cole Field House Univ of MD – Concession Smoke – 300 ft
Dominion Energy Smoke
Motion Detection
• Motion detection is a byproduct of analysis
• Generally not as sophisticated as security analytics
• Can be tied to image location and schedule
IP Network Camera
System Architecture
Fire Alarm Control Panel
CAT 5E cable
Addressable Modules
SLC
(24vdc for NFPA)
Network Video Recorder Options 4, 18 or 32 camera NVR
Camera Connections
Terminal strip1,2: 12 – 24vdc3,4,5: Programmable Alarm6,7,8: Trouble9,10,11: Programmable Alarm12,13: Unused
Enclosures
Environment Dictates Type of Housing• Explosive• Dust or dirt• NEMA 4x• Cold - Heated• Hot - Cooled
Coverage Comparison It takes approximately 20
Spot-type smoke detectors to cover the area of ONE SigniFire camera.
Very cost effective in ceilings with beam construction.
Area of coverage based on 100’ = approx. 7800 sq ft
Area of coverage based on 150’ = approx. 17,600 sq ft
FM Global and UL
• Recognizes Use of Flame & Smoke VID Systems
• Flame VID Classified as Radiant-Energy Sensing Detector
• UL – 268B Video smoke detection• FM – Uses FM 3260 (new FM 3232) and
UL 268. • FM 5-48 (Jan. 2011) Recommends video
smoke detection• Property/Business Continuity vs. Life Safety
FM Global Update – January 2011
NFPA Journal Aug/Jul 2011
NFPA 72
• 5.7.6.1 VID and all components thereof, including hardware and software, shall be listed for the purpose of smoke detection
• 5.7.6.2 VID shall comply with all of the applicable requirements of Chapters 1, 4, 5, 6, and 10 of the code– Chapter 4 power supply criteria– Communications integrity– Listed for the purpose– Alarm signal to FACP
• 5.7.6.2.1 System Shall be designed in accordance with the performance based design requirements of 5.3
• 5.7.6.2.2 Location and spacing of VID shall comply with 5.10.5
• Prevent tampering and ensure integrity of mission of system.
Visible vs IR Illumination
• VID systems need illumination either IR or Visible Light• LED’s most common due to long life expectancy and low
power consumption• NFPA 101 requires emergency lighting (1 Foot candle)• Switching between IR and white light can result in a
focus shift (competition)• Blinding of competitor CCD chip with IR• IR is not visible to humans
– White light provides safety and security
Common Applications
• Large area detection1. High ceilings
2. Large volume spaces
3. Irregular ceiling, beam pockets
• Special hazards1. Local application detection
2. High fire hazard equipment
3. Telecom/Server rooms
• Outdoor hazards1. Process areas
2. Flammable storage
3. Wireless
• Portable fire watch
SpyderGuardTM
• Functions with standard PC• Provides video surveillance, smoke,
flame and motion detection• View and record the condition that
caused the alarm• View and manage system via
internet• Receive email alerts • Audible voice warning• Locate the event on building/site
plans• Coordinate response efforts
SpyderGuardTM
• Flexibility to reduce false alarms or provide targeted detection
• Mask or section areas of camera view to: Disable smoke or flame detection Enable motion detection Scheduler allows programming to times
of day and days of week
• System alarms when smoke or flame crosses plane, out of masked area
• Detection zones target specific equipment
Masking or Detect Zones
Flame DetectZone
Smoke blockRFL block
Potential false alarm
SpyderGuardTM
Timeline Screen
System records 24/7/365 History timeline of detected events View and download video from any time period Easily identify and download video of events Used in commissioning – eliminate false alarms
Commissioning and Maintenance
• Audit Report Generation– Commissioning report– System tests
• Propane torch• Smoke emitters• Canned smoke• Motion zones• User initiated alarms
– Confirm original field
of view
Video Detection Scenario
Fast Detection
IP
Coordinate
response with live
video
Dry-contact
SpyderGuard Visual ID
Improved response time and situational
awareness
Email message
Dial 911
Hydroelectric facility
Sikorsky Helicopter
Satellite Assembly
Electrical Rooms
National Academy of Science (DC Mall)
Customizable Fire Detection
• One or more detection algorithm(s)• Detect or mask areas• Zone on-off schedules• Sensitivity settings• Cost savings
A. Less wire and conduit/scaffolding
B. Fewer devices• Minimum operational disruption• Quick system modification
“Custom Fire Detection Solutions For Challenging Applications”