Catalogue FL4000 Multi-Spectral Infrared Flame Detector
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Innovative Technology for
Advanced Multi-Spectral Sensor Array with Neural Network Technology
The FL4000 Multi-Spectral Infrared (MSIR)/Neural Network Technology (NNT) Flame Detector from General Monitors sets a new industry standard for performance, reliability, and value. General Monitors has developed the industry's first MSIR/NNT Flame Detector designed to operate at longer range with a wider field of view and at higher accuracy for superior false alarm immunity.
Combining a precision multi-spectral IR sensing array with highly intelligent neural network processors, the FL4000 reliably discriminates between actual flames and nuisance false alarm sources (such as arc welding or hot objects).
> Event logging records time, date and type of event
> Minimum immunity distance to arc welding: 5-15 ft. (1.5-4.6 m)
How MSIR/NNT Flame detection Works
The FL4000 is a highly discriminating MSIR/NNT detector, which makes use of multiple infrared sensors 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.
Standard features of the FL4000 Flame Detector include:
> MSIR sensor array for maximum range of up to 230 ft.
> Neural network technology for superior false alarm immunity
> Continuous optical path monitoring (COPM) checks optical path integrity for high reliability
> Response time of <10 seconds for rapid flame detection and alarming
> Industry standard 4-20 mA output signal for communications with remote alarms, Industrial plcs, or DCS
> HART digital communication signal superimposed on the 4-20 mA analog signal.
> Dual-redundant MODBUS communications via RS-485 interface for remote operation
> Test lamp that checks all outputs
> Explosion-proof stainless steel housing for corrosive and marine environments
SERIAL COMMUNICATIONS
SENSOR DATA COLLECTION
O^^HW
IR IR
r
User MODBUS Processing
PROCESSING ALGORITHMS
INSTRUMENT OUTPUTS
User MODBUS Output
Signal Pre-Processing
È Neural Network ■ Classification
1 LEDs and Relays
1 Outpost Post-Processing
MSIR /NNT Signal Processing
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