Project engineering
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Building Technologies 007004_k_en_--
Fire Safety & Security Products 16.04.2009
4 Project engineering
4.1 Compatibility
All detectors can be operated on the FDnet detector line. The neural fire detector
FDOOT241-9 may also be operated on a collective detector line and the
FDOOT241-8 may be operated on an MS8 detector line (for details, please refer to
document 008331).
4.2 Ambient features
In selecting the optimum parameter set, the following factors must be taken into
account:
z Risk of injury to persons
z Concentration of valuable items
z Room geometry
z Deceptive phenomena
z Risk of fire
z Critical fire size
Risk of injury to persons
People are extremely endangered in localities such as concert halls, nursing
homes or hospitals. The risk of damage to persons is thus very high in these
localities. In canteen kitchens the situation is different. Few people work in such
facilities and are able to save themselves in the event of timely alarms. The risk of
injury to persons is thus rather low in this case.
Concentration of valuable items
Irreplaceable cultural assets are often on display in museums. Computer centers
house servers with large data volumes. The concentration of valuable items is
rather high. In a normal hotel room the concentration of valuable items must be
classified as low.
Room geometry
High ceilings, complex room shapes or well ventilated rooms have a complex room
geometry. This aggravates early fire detection, as it is difficult for the fire
phenomenon to reach the fire detector. An office room with normal ceiling height
has a simple room geometry.
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