采用智能神经元网络技术的新型气体泄漏检测技术

New Generation Technology of Gas Leak Detection Based on Artificial Neural Network

简述了常规气体泄漏检测面临的潜在风险,引入超声波气体泄漏检测的概念。复杂多变的环境背景噪声的影响,以及其常规超声波探测技术手段的局限性,对超声波气体泄漏检测造成较大的应用限制。第三代超声波气体泄漏检测技术采用了先进的智能神经元网络(ANN)技术,采用模糊模式识别,而不是常规的阀值判断技术,不但检测能力大大提高,同时有效避免了误报警现象,提高了安全防护等级。

The potential risk of traditional gas leak detection is briefly described,then the ultrasonic technology is introduced.However due to impact from changeful and complex background noise and the limitation of old-fashion acoustic technology as well,the ultrasonic gas leak detection applications are quite limited.The third generation gas leak technology applies start-ofthe-art Artificial Neural Network（ANN）,instead of traditional threshold based judgement or simple fingerprint reading.ANN technology provides wider range of detection,more importantly,it＇s much more easier to install and operate than ever.