Technical description – Spectrex 20/20SI Triple IR (IR3) Flame Detector User Manual

Page 10

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Spectrex Inc. - SharpEye

TM

IR3 Flame Detector Manual – TM 20/20I, Rev. (6) August 2004

2

2. Technical Description


Detection Range: up to 200 ft (60m) for a 1ft x 1ft (0.3m x 0.3m) fire.

Ultra High Immunity to False Alarms (see section. 3.3).

Advanced Digital Processing of the Dynamic Characteristics of Fire:

Flickering, Threshold correlation and Ratio.

Three Separate IR Channels: Between 3-5 microns.

Field Programmable Sensitivity: four ranges.

Two Response Levels: Warning & Detection.

Solar Blind

Microprocessor Based: Digital signal processing.

Built In Test: Manual and Automatic (see section. 4.2.2).

Electrical Interface:

o

Dry contact RELAYS.

o

Communication network RS-485.

o

4-20mA output.

Certification: Approved by F.M, CSA, ATEX.

2.1 Principles Of Operation

2.1.1 Hydrocarbon fire detection
The triple IR flame detector detects all conceivable types of hydrocarbon fires, i.e.
any fire, which emits CO

2

.

2.1.2 Identifying the CO

2

peak

The hydrocarbon fire is characterized by a typical radiation emission. The CO

2

peak emits intense radiation in the spectral band between 4.2 µ - 4.5 µ and
weaker radiation intensity outside this spectral band.

2.1.3 The limitations of IR-IR flame detectors
CO

2

in the atmosphere attenuates the radiation in this spectral band. (Absorption

and emission of radiation always occur in the same band.) As a result, the greater
the distance between the detector and the fire, the weaker the intensity of the
radiation reaching the detector (the CO

2

attenuation increases). This phenomenon

explains the limitations of the existing IR-IR flame detectors in the market:

• Detection distance is restricted to 33ft (10m) only.

• Their immunity to false alarm sources is limited.

2.1.4 The advantages of IR3 technology
To overcome these limitations, Spectrex Inc. revised an innovative concept of
utilizing an additional detection channel. Three channels collect more data from
the environment, permitting more accurate analysis and better performance.

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