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2015-11-04
4 Planning
4.1 Compatibility
Compatible with control panels that support the FDnet detector line.
Neural fire detectors can also be operated as follows:
● FDOOT241-A3 on AnalogPLUS
● FDOOT241-A4 on SIGMALOOP
● FDOOT241-A5 on interactive
● FDOOT241-9 and FDOOT241-A9 on a collective detector line
● FDOOT241-8 on an MS8 detector line
You will find detailed information in the 'List of compatibility'.
See also
Applicable documents [➙ 9]
4.2 Ambient features
In selecting the optimum parameter set, the following factors must be taken into
account:
● Risk of damage to persons
● Value concentration
● Room geometry
● Deceptive phenomena
● Risk of fire
● Critical fire size
Risk of damage to persons
People's lives are severely at risk in venues such as concert halls, nursing homes,
and hospitals. The risk of damage to persons is therefore very high in such places.
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 damage to
persons is thus rather low in this case.
Value concentration
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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