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IR Neural Network Flame Detector Stops False Alarms - Multi-spectrum IR sensing and neural network processing together in one device

机译:红外神经网络火焰探测器可消除误报-一台设备可同时进行多光谱红外传感和神经网络处理

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摘要

There are five primary optical flame sensing technologies in use today, all of them based on either UV spectrum or IR spectrum sensing. Depending on the application, the designer selects a specific technology. While these devices meet basic flame detection needs, they are prone to false alarms caused by reflected sunlight, arc welding, hot piping, machinery, and other false-alarm sources, "False alarms are more than a nuisance. They are both a productivity and cost issue," says Ardem Antabian, product manager at General Monitors (www.generalmonitors.com). "From the perspective of productivity, a false alarm incident in most process plants requires a system shutdown. Turning off and then restarting a process line may take anywhere from an hour to a whole shift."
机译:目前,有五种主要的光学火焰传感技术正在使用,它们全部基于UV光谱或IR光谱传感。根据应用,设计人员选择特定的技术。这些设备可以满足基本的火焰检测需求,但容易受到阳光反射,电弧焊,热管道,机械和其他虚假警报源造成的虚假警报,“虚假警报不仅是令人讨厌的事情。它们既具有生产力,又可以成本问题。” General Monitors(www.generalmonitors.com)产品经理Ardem Antabian说。 “从生产率的角度来看,在大多数加工厂中,一次误报事件需要关闭系统。关闭然后重新启动生产线可能需要一个小时到整个班次。”

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