Ideal Applications |
Addressable or Conventional? Whether to use addressable or conventional detectors depends on the application requirements. Addressable detectors include an address identification and will relay the exact location of the alarm to the control panel. Conventional detectors do not have an address identification and will only relay an alarm in a zone as indicated by the control panel. Conventional detector sensitivity is factory set and cannot be altered. |
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![]() Photoelectric Smoke Detectors Photoelectric detectors are ideal for meeting life safety requirements in standard applications such as residential and office installations. |
![]() Duct Smoke Detectors These detectors are used to detect smoke in the airstreams of ductwork in HVAC systems in public facilities in order to prevent the spread of toxic smoke and assist in equipment protection. |
![]() Aspirated/Filtered Smoke Detectors These detectors are ideal for very dirty and dusty environments, such as mines and stables, that tend to clog or cause false alarms in more traditional smoke detectors. |
![]() Laser Smoke Detectors This high-sensitivity detector type is ideal for applications where systems must remain online at all times and even small amounts of smoke cannot be tolerated, such as telecom switching facilities, computer rooms and clean rooms. These detectors are also suited for applications that require Very Early Warning Fire Detection per NFPA 76. |
![]() Beam Smoke Detectors Beam smoke detectors should be used for protecting open areas with high ceilings where other methods of smoke detection are impractical, such as sports arenas, music halls and convention centers. |
![]() Thermal Detectors Thermal detectors are very effective for property protection applications in which life safety is not the primary focus, or environments, such as industrial kitchens, where traditional smoke detection methods are impractical. |
Tags: Multi-criteria Detection, Smoke detection
Posted in Carbon Monoxide Detection, Commercial, Design and Installation, Intelligent Detection, Spring 2009
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