“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”