Detectors; Neural Fire Detector - Siemens FDOOT241-9 Technical Manual

Structure and function
3.3

Detectors

3.3.1

Neural fire detector

Parameter
Signal processing
Communication protocol
22
Building Technologies
Fire Safety & Security Products
The neural fire detector is a multiple criteria fire detector and is equipped with two
optical and two thermal sensors. The following neural fire detectors are available:
FDOOT241-9
FDOOT241-8
FDOOT221
The following table shows the most important differences between the neural fire
detectors.
FDOOT241-9
ASAtechnology
FDnet
Collective
Structure and function
1 Heat sensors
2 Backward scatterer
The detector has a sophisticated opto-electronic measuring chamber with two
optical emitters, an optical receiver and two thermal sensors.
The transmitters illuminate the smoke particles from different angles. One sensor
acts as forward scatterer, the other as backward scatterer. The scattered light then
hits the receiver (photodiode) and generates a measurable electric signal.
The combination of a forward and backward scatterer facilitates an optimum
detection and the differentiation of light and dark particles, which leads to a
homogenous response behavior and optimizes the differentiation of wanted signals
and deceptive phenomena.
FDOOT241-8
ASAtechnology
FDnet
MS8
1
4
3 Forward scatterer
4 Labyrinth
FDOOT221
Detection algorithms
FDnet
2
3
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16.04.2009