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FAAST XS Intelligent Aspirating Smoke Detector - Discontinued Product

Pertronic

7200BPI FAAST XS Intelligent

Discontinued product.

The FAAST XS Intelligent Aspirating Smoke Detector (7200BPI) combines Dual Vision (blue LED and infrared laser) optical smoke detection with advanced detection algorithms, a wide-area sampling system, and intelligent fire alarm panel connectivity using an analogue addressable loop.

The detector incorporates an air sampling system that continuously draws air from the controlled environment into the detector chamber through a sampling pipe. The three-stage filtering and particle rejection system ensures high sensitivity to smoke with excellent immunity to nuisance particles. The particle separator ensures that heavy particles bypass the detection chamber, extending filter life and preventing detection chamber contamination. An easily replace able filter protects the chamber from other smaller particles. The shape of the detection chamber is also designed to resist the build-up of nuisance particles. The Dual Vision sensing system employs advanced software to combine the signals from two separate light sensors for maximum smoke sensitivity while rejecting signals from nuisance particles. FAAST XS 7200BPI can accurately detect incipient fire conditions before a fire actually starts.

The detector can be connected to an analogue addressable loop for direct communication with a fire alarm panel. The FAAST XS 7200BPI detector is uniquely identified at the panel as a FAAST detector. FAAST’s PipeIQ®* software allows the detector’s sensitivity levels to be configured to match the panel’s pre-alarm and alarm  settings. The device can also be monitored through its integral display, from a computer connected to the device, or remotely through a web browser. When suitably connected, FAAST XS 7200BPI can send out status updates by email.

The FAAST XS 7200BPI is fully compatible with Pertronic Analogue Addressable fire alarm panels, the Pertronic network system and Pertronic FireMap™ Graphics System.

 

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