Application Examples - Siemens FDOOTC241 Technical Manual

Neural fire detector
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4.2.6 Application examples

Environment
Normal office, room without any
particular deceptive phenomena
Rooms with potential risk to
persons due to smoldering fires,
CO development
Possible deceptive phenomena,
e.g. electric kettle
Cleaning rooms (e.g. in hotels)
Kitchen
Hospital room, museum
Clean room
Building Technologies
Fire Safety
You will find application recommendations such as the selection of the detector
settings for the various applications in document 010030.
The following table includes examples regarding the selection of the parameter set
for the FDOOTC241. The examples cannot be used universally, but illustrate
typical applications.
Deceptive phenomena / detector behavior
Vapor as deceptive phenomenon
Vapors from cleaning materials
A lot of vapor as deceptive phenomenon
Quick response needed;
no deceptive phenomena expected
Fast and very sensitive reaction required
Fire detection
Parameter set
'Robust (2)' in sensor mode 0
'Balanced CO (10)'
Alternatively 'Balanced (4)'
'Balanced CO (10)' or 'Suppression CO (12)'
Alternatively 'Balanced (4)' or 'Suppression (5)'
'Balanced CO (10)'
Alternatively 'Balanced (4)'
'Suppression CO (12)' or 'Balanced CO (10)'
Alternatively 'Suppression (5)' or 'Balanced (4)'
'Fast Response (6)'
'High Sensitive Fast (9)'
Planning
4
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A6V10209291_h_en_--
2016-03-03

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