Sales Design Presentation

1
Sales / Design Presentation
2
Topics

• Aspirating Smoke Detection
• What it is
• Fixed Vs Relative Sensitivity Systems
• How do they compare?
• ClassiFire
• Design Considerations
• The 5 Design Methods
• Sampling Pipe Design
• Choice of Detector type

3
Aspirating Smoke Detection
A method of smoke detection, whereby a sample of
air is drawn from the protected area via sampling
pipework, and analysed at the aspirating detector
for the presence of smoke.
Historically used for very early warning of a
potential fire, within very well controlled
environments. ClassiFire makes it possible for
Aspirating Smoke Detection to be utilised in a
much wider range of applications.
4
Overview
5
Airflow
Air from the protected area is drawn along the
Sampling Pipe by an efficient Aspirator
6
Airflow
Passing over sensitive air-flow measuring
sensors. Each Pipe is monitored separately
7
Airflow
Of all the air which is drawn into the detector
assembly.
Only a small proportion (5) passes through the
separator into the detection chamber
8
Airflow
The remainder passes through a patented duct
system called a Wastegate, and is exhausted out
of the detector
The Wastegate extends the life of the Separator
and Detector considerably
9
Detection
Any Smoke particulate entering the chamber will
be illuminated by the laser
And Light will be scattered onto the reflective
plane, re-focussed onto the light receiver
The quantity of light scattered increases with
greater quantities of smoke particulate present
10
Fixed v Relative Sensitivity
Stratos-HSSD is the only Relative Sensitivity
Aspirating Detection system available
All other systems have the sensitivity (the
amount of smoke required to produce an alarm)
fixed during manufacture
The sensitivity of Stratos-HSSD is determined by
the ambient smoke level of the protected area
11
Fixed Sensitivity
Calibrated to 0.1 obs/m
The alarm thresholds are in fact a measurement of
smoke density, regardless of whether ambient or
produced by a developing fire
As Smoke enters the detector via a network of
sampling pipe, the display graph will register
the increasing smoke levels, triggering relay
outputs as the level passes each pre-set threshold
Fire
0.08 obs/m
Pre-Fire
0.06 obs/m
Calibrated to 0 obs/m (Clean Air)
12
Fixed Sensitivity
0.07 obs/m
0.1 obs/m
Fire
0.08 obs/m
0.05 obs/m
Pre-Fire
0.06 obs/m
0.03 obs/m
If the ambient level fluctuates, then the
sensitivity to a fire will also fluctuate
However, if the ambient smoke level is not zero
(clean air), then the actual sensitivity to smoke
produced by a fire will vary
0 obs/m
13
Fixed Sensitivity
0.06 obs/m
0.1 obs/m
Fire
0.08 obs/m
0.04 obs/m
Pre-Fire
0.06 obs/m
0.02 obs/m
Ambient
0.04 obs/m
If the ambient level rises, the sensitivity
increases, and with it the potential for false
alarms occurring
0 obs/m
14
Fixed Sensitivity
0.09 obs/m
0.1 obs/m
Fire
0.08 obs/m
0.07 obs/m
Pre-Fire
0.06 obs/m
0.05 obs/m
If the ambient level falls, the sensitivity
decreases, and therefore you will have reduced
protection
Ambient
0.01 obs/m
0 obs/m
15
Fixed Sensitivity
The Sensitivity Level must be set above the
highest ambient level if false alarms are to be
avoided
The Sensitivity to a Fire varies with changing
ambient smoke levels
Smoke Density
Time
16
Variable Sensitivity(relative scaling)
Because Stratos-HSSD is a RELATIVELY scaled
(sensitivity) detector, the sensitivity to a FIRE
remains constant, regardless of changing ambient
conditions
Smoke Density
Time
17
Fixed Sensitivity SystemsProblems

• Calibrated to a known smoke density value
• Sensitivity to a FIRE varies with changing
  ambient conditions
• Greater Sensitivity More False Alarms
• Less Sensitivity Low level of Protection
• Fixed Alarm Levels
• Must be manually altered, and are constantly out
  of date

18
Comparison of Fixed and Variable Sensitivity
Detectors
Fixed Sensitivity
Variable Sensitivity

• Will Alarm at a fixed smoke density level,
  regardless of whether smoke is ambient or
  produced by a fire
• The sensitivity to a Fire varies with changing
  ambient conditions

• ClassiFire sets the correct level of sensitivity,
  based upon the ambient smoke level
• ClassiFire maintains that sensitivity regardless
  of changes in ambient conditions

19
What is ClassiFire
A patented Artificial Intelligence process
controlling all aspects of the system, ensuring
the maximum safe sensitivity - regardless of
ambient conditions
20
What is ClassiFire
This Histogram fits a Standard Deviation Curve,
allowing statistical analysis of the data
During an initial FastLearn process, the detector
samples the environment once each second, and
produces a histogram representing the ambient
pollution (smoke) level
5
4
5
6
5
4
5
21
Statistical Probability
Any normal curve can be divided into 3 equal
width strips called a Standard Deviation, with a
known probability of a random event falling into
each category
The probability of a normal event occurring
outside of 3 SD is extremely remote.
Particularly since events to the left of the
curve are not relevant from a False Alarm Point
of View
ClassiFire uses this information to automatically
set the correct sensitivity and alarm thresholds,
determined by an acceptable frequency of False
Alarms
22
What is ClassiFire
After the 15 minute Fastlearn process, a slow
updating histogram takes over
And ClassiFire continues to update the histogram
for the entire lifetime of the detector
The Alarm Position is initially set well out of
the way (Low Sensitivity)
23
What is ClassiFire
After 24 hours, ClassiFire has sufficient data to
set the alarm position at its best Safe
sensitivity..
Based upon the statistical Probability of
Nuisance Alarms
24
Setting the Scale
And the Sensitivity and Scale is therefore unique
to the particular protected area
Position 8 on the scale is fixed to where
ClassiFire has placed the Alarm Position
Zero is fixed on the Mean
25
Setting the Scale
So the usual fluctuations in bargraph display (as
seen on Fixed Sensitivity systems) do not occur
Only smoke density levels which are above the
mean are displayed on the bargraph of
Stratos-HSSD
26
Setting the Scale
In a cleaner environment, the mean will tend to
be at a lower value, and the variance (and
therefore the SD value) will be less
The Alarm position will still be placed a set
number of standard deviations from the mean,
determined by the Alarm Factor n
And therefore the detector will statistically
have the same frequency of False alarms as in a
dirtier environment
27
The slow updating histogram determines the
sensitivity and the scale
But the Fast updating histogram is still
operating, updating once per second
As the smoke level begins to rise, the fast
updating histogram will register this increase,
and display the rising smoke level on the bargraph
28
Day/Night Mode
So far we have only considered the slow updating
histogram as a 24 hour entity
If we examine a 24 hour period, and separate it
into two 12 hour periods, we will probably see
two distinctly different histograms
The Night-time histogram probably has a lower
mean value, and a smaller deviation. This is
because smoke producing activity lessons during
the night in most premises
Both histograms require different levels of
sensitivity, based upon the same formula n x SD
29
Day/Night Mode
Last nights histogram is stored in memory
During the daytime, ClassiFire maintains the
sensitivity according to n x SD
The fast updating histogram is always operating
in the background
30
Day/Night Mode
As night-time approaches, we expect to see a
reduction in smoke level, resulting in the fast
updating histogram shifting to the left
31
Day/Night Mode
When the fast updating histogram reaches 2/3 of
the way to last nights histogram, ClassiFire
checks that the time is within the 70 minute
window for status changeover
If both conditions exist (smoke reduction and
time frame) .
32
Day/Night Mode
ClassiFire changes status from Daytime to
Night-time mode
The next morning the same process happens in
reverse
If either of the conditions do not exist (i.e.
smoke level not rising on a weekend), ClassiFire
will maintain the existing mode
33
ClassiFire continually compensates for this,
until a separator renewal fault is required
34
Summary

• ClassiFire is a patented Perceptive Artificial
  Intelligence process which ensures optimal
  detector performance at all times.
• A FastLearn system quickly sets the alarm level
  to an initial low sensitivity.
• The histogram generated by FastLearn is used as
  seed data for the standard histograms, which
  tailor the alarm setting to the operating
  environment during working and non-working hours.

35
Summary

• ClassiFire can optimise the detector to the way
  you work
• It can maximise protection during non-operating
  periods
• It can minimise unwanted alarms during working
  hours
• Change of sensitivity can be remotely or
  automatically triggered
• ClassiFire continually monitors its environment
  in order to fine-tune the alarm setting to optimum

36
Summary

• ClassiFire is simple to set up
• An absolute minimum of installer programming is
  necessary.
• A user-definable Pre-Alarm level can be set to
  generate a warning in the earliest stages of a
  possible fire if required.
• A user definable Auxiliary level can be set to
  give an alarm event at any level, e.g. if
  specialist actions are needed in the case of
  sudden, intense fires.
• Pre-set ClassiFire alarm factors help to tailor
  the detector response to your needs and working
  environment.

37
Summary
ClassiFire Provides and Maintains the optimum
Sensitivity for the Protected Area, NOT the
Maximum Sensitivity Possible
38
Design
39
The 5 Design Methods
1. Primary Sampling
40
The 5 Design Methods
2. Secondary Sampling
41
The 5 Design Methods
3. Localised Sampling
42
The 5 Design Methods
4. In-Cabinet Sampling
43
The 5 Design Methods
5. Vertical Sampling
44
The Pipework Modelling Software for Stratos-HSSD
products
45
PipeCAD
Limitations

• The transport time quoted is only within sampling
  pipe. Careful consideration must also be given to
  the time it takes for smoke to reach the pipework
• To be used for guidance purposes only. There is
  no substitute for on site testing
• calculation only as good as the information
  received

46
PipeCAD
The Design Cycle

• The process for modelling a basic pipework system
  design is as follows

47
1. Enter the Snap Grid
48
2. View the Whole Page
49
3. Select the View
50
4. Add the Building Outline
51
5. Add the Detector
52
6. Add the Pipes
53
7. Add End Caps, Sampling Holes Capillaries
54
8. Calculation Options
55
9. Calculate
56
10. View Results
57
11. What do the Results Mean?
58
12. Other Features

• Import DXF files
• Create PipeCAD layouts in 3D format
• Add labels to a drawing
• Customization of PipeCAD

59
13. Help Me!

• Comprehensive help file
• Helpline 44 (0)1462 440666
• Fax [phone]
• E-mail your query and file to pipecad_at_airsense.co
  .uk

60
Detector Applications

• Choosing the right detector for the job

61
Stratos-HSSD

• 4 Sampling Ports Available (plus 4 rear entry)
• Single area (Not known which pipe smoke is
  drawing smoke)
• Total Pipe Length 200m
• No individual pipe to exceed 50m
• 4 Outputs for Fire Signals plus Common Fault

62
Stratos-HSSD

• Requires 24V 1.4 Amp Power Supply / Charger
• Requires 2 x 12V 12Ah Batteries
• (for 24 hour operation in the event of a Power
  failure)

63
Stratos-Micra 25

• Single Pipe Detector for Local Applications
• Maximum Pipe Length 50m
• No Individual Pipe to Exceed 50m
• 1 Fire Output plus Common Fault
• Can be fitted with a Relay Card to give 4 Fire
  plus common Fault

64
Stratos-Micra 25

• Requires 24V 1 Amp Power Supply / Charger
• Requires 2 x 12V 7Ah Batteries (for 24 hour
  operation in the event of a Power failure

65
Stratos-Micra 100

• Two Pipe Detector for Larger Applications
• Maximum Pipe Length 100m
• 1 Fire Output plus Common Fault
• Can be fitted with a Relay Card to give 4 Fire
  plus common Fault

66
Stratos-Micra 100

• Requires 24V 1.4 Amp Power Supply / Charger
• Requires 2 x 12V 12Ah Batteries (for 24 hour
  operation in the event of a Power failure

67
Command Module

• A Central Control/Display Panel for Connecting up
  to 127 Stratos devices on a dedicated loop