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| General Monitors
introduces artificial intelligence to flame monitoring
with neural network technology (NNT). The result
is highly reliable protection of equipment and facilities
with advanced false alarm immunity. |
Field of View
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an enlarged view
MSIR/NNT Signal Processing
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an enlarged view |
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Advanced multi-spectral (MSIR) infrared flame detection
is here with the new FL4000 Intelligent MSIR Flame Detector.
Featuring neural network technology (NNT), the FL4000
is a highly discriminating MSIR/NNT flame detector.
The FL4000 makes use of a MSIR sensor array sampling
different IR spectrum wavelengths. Each detector’s
analog sensor signals are sampled and converted into
digital format for signal pre-processing to extract
time and frequency data. The time and frequency information
are used by the FL4000’s advanced neural network
classification algorithm to identify if input IR signals
are emitted from a flame or non-flame source. The flame
or non-flame decision is then reported as an output
via LEDs, relays, MODBUS, and/or HART.
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Download our FL4000 Product Demo for an online tour of
this advanced flame detector's MSIR flame sensing and
neural network technologies. Learn how the FL4000 reduces
false alarms that cause unnecessary downtime and paperwork.
See why the FL4000's expanded field of view reduces the
number of detectors necessary to protect facilities and
offers low maintenance and low cost advantages.
View
the FL4000 Product Demo
Learn more about flame detection technologies, the application
of neural network intelligence and the FL4000 Flame Detector
by reading our new White Paper. This paper discusses the
typical causes of false alarms and explains the development
of neural network technology and its usage in safety monitoring
equipment designed for petrochemical and a variety of
other industries.
Download
our Neural Network
Technology White Paper |
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