Siemens FDOOT221 Technical Manual page 29

Automatic fire detectors
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Type
FDOOT221
FDOOT241-8
FDOOT241-9
FDOOT241-A
FDOOT241-A3
FDOOT241-A4
FDOOT241-A5
FDOOT241-A9
Building Technologies
Fire Safety
The following table shows the most important differences between the neural fire
detectors.
Signal processing
Detection algorithms
technology
ASA
technology
ASA
technology
ASA
technology
ASA
technology
ASA
technology
ASA
technology
ASA
Structure and function
1 Heat sensors
2 Backward scatterer
The detector has a sophisticated opto-electronic measuring chamber with two
optical transmitters, 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 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.
In addition, the heat sensors make it possible to detect fires without smoke
generation.
2BStructure and function
Communication protocol
FDnet
FDnet
MS8
FDnet
Collective
FDnet
FDnet
AnalogPLUS
FDnet
SIGMALOOP
FDnet
Interactive
FDnet
Collective
1
4
3 Forward scatterer
4 Labyrinth
3
19BDetector
2
3
29 | 138
007004_t_en_--
2015-11-04

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