Setup - Siemens FDOOTC241 Technical Manual

Neural fire detector
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3.2

Setup

Building Technologies
Fire Safety & Security Products
The FDOOTC241 neural fire detector is a multiple criteria fire detector and is
equipped with two optical sensors, two thermal sensors and one CO sensor.
Structure and function
Sensors of the FDOOTC241
1 Heat sensors
2 Backward scatterer
3 Forward scatterer
Fire detection
The point detector's high-quality optoelectronic measuring chamber houses the
following components:
Two optical transmitters
One optical receiver
Two thermal sensors
One CO sensor
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 forward scatterers and backward scatterers allows for optimum
detection of and distinction between light and dark particles. The distinction
between light and dark particles firstly results in a homogeneous response
behavior and secondly enables better differentiation between wanted signals and
deceptive phenomena.
In addition, the heat sensors make it possible to detect fires without smoke
generation.
The CO sensor enables faster detection of fires with incomplete combustion and
fires with the development of a lot of CO.
1
5
4
4 Labyrinth
5 CO sensor
Structure and function
2
5
3
A6V10209291_f_en_--
05.02.2010
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