دتکتور دود مکنده برند Stratos مدل Micra 10

(Stratos Brand air sampling Smoke Detector Model Micra 10)

Stratos Brand air sampling Smoke Detector Model Micra 10

Description

The Stratos detectors use a patented system ClassiFire® to continually adjust the detector sensitivity to maintain a consistent

level of performance. ClassiFire® a Perceptive Artificial Intelligence process, this need not mean a high rate of false alarms.

Stratos is the only laser based high sensitivity system which is routinely applied to the protection of very dirty and dusty environments.

ClassiFire® and Laser Dust Discrimination permit the discrimination between dust and emissions of diesel trucks.

ClassiFire® a patented Artificial Intelligence

LDD-3D3TM Laser Dust Discrimination

Tested by EN 54-20/VdS/LPCB/UL/FM

Discrimination between dust and emissions of diesel trucks

Auto learning process

Possibility of connecting 126 detectors by a Command module via RS485

All detectors have the capability of driving Remote display Units (RDU) for the display alarm and fault indication at a remote location

Cable length between repeaters is 1,2 km

The HSSD 2 detector has the repeater inside

Easy programming via RS232 with PC

ClassiFire® Perceptive Artificial Intelligence

The AirSense Technology Ltd Stratos ranges of aspirating smoke detectors use a patented system of Perceptive Artificial

Intelligence to continually adjust the detector sensitivity to maintain a consistent level of performance.

Traditionally, aspirating detectors are adjusted to a sensitivity that is a set level above the highest peak in the normal environmental smoke density.

With the traditional method it is very easy to set systems too sensitive and suffer from an unacceptable rate of false

alarms, neither does this method permit particularly early warning.

As the normal environment changes, the system is unable to adapt and needs more (or less) smoke to generate an alarm.

Although with this method the detector has “fixed sensitivity” the amount of smoke needed to generate an alarm is not constant,

as depicted in the Fig. below.

ClassiFire® works as follows:

The detector output produces a histogram of 64 classes of potential pollution density.

The laser is pulsed twice per second and each pulse output is allocated to a pollution density class.

Over a period of 24 hours the smoke pollution distribution in the protected environment is compiled and a data bank is created.

The data bank is used to predict the probability that a particular pollution level will be achieved using statistical analysis.

Alarm thresholds are  based on an acceptable probability of false alarms.

Because the smoke pollution data bank is continually updated, the detector continually adjusts its sensitivity to match any

changes in the normal ambient smoke density, ensuring that the detector provides a consistent response.

The histogram represents a record covering several days.

This gives optimum stability and ensures that slow growing fires are not learned. Benefits:

High sensitivity can be provided reliably

Alarm rates can be predicted

Seasonal time changes are automatically adapted to

Contaminated dust filtersthat normally effect sensitivity are adapted to changes in air filtration efficiency and do not affect smoke detection performance

Provides extremely simple set-up

Laser Dust Discrimination (LDD-3D³™) The AirSense Technology Ltd Stratos detectors use a new and updated dust discrimination algorithm known as LDD-3D3TM.

The system works on the principle that the laser signal will show a steady output (caused by the homogeneous distribution of smoke

particles throughout the moving air sample), with spikes caused by any dust particles intermittently passing through the point of laser focus on the moving airstream.

Any dust present will cause these spikes to be superimposed on the smoke reading signal.

LDD-3D3TM works on the principle that if these spikes can be eliminated from the underlying detector signal, then the steady output

which remains would represent the underlying smoke density present.

The result is greatly enhanced dust rejection by these detection products.

The algorithm works as follows:

The laser is pulsed at a frequency of approximately twice per second, with a pulse duration of approximately 15 milliseconds.

During each 15ms puls, a total of 50 readings of Light scatter signal are taken and temporarily stored in RAM.

The average signal (arithmetic mean) of the 50 readings is calculated. All readings above the average are removed.

A second average (arithmetic mean) is calculated using all the remaining readings (those below or equal to the previously calculated average).

The second average is considered to be the detector output for this cycle.

It is passed to a selectable moving average arithmetic routine to reduce slower variations in the chamber output.

The result of the moving average is compared to the alarm thresholds to establish if a fire condition exists and passed to

ClassiFire® to be added to the histogram.

This cycle is repeated twice per second.

The calculation of the moving average in stage 4 can be omitted.

This is set by the LDD enable tick box in the function settings of the detector.

Omitting this stage will make the detector faster-responding but more prone to alarms caused by dust.