基于模糊邏輯和RBF算法的家庭火災(zāi)報警系統(tǒng)的研究

趙方飛

摘要：隨著科學(xué)技術(shù)的迅速發(fā)展和人們生活水平的提高，家中日常所用的電器設(shè)備越來越多。為了防止電器損壞等原因有些家用電器專門設(shè)計了短路、過熱等保護(hù)系統(tǒng)，但是一些電器必定要長期處于工作狀態(tài)，電器線路的老化和電器設(shè)備的老化是不可避免的，進(jìn)而存在發(fā)生火災(zāi)的安全隱患。目前的火災(zāi)探測系統(tǒng)基本都采用單一的煙霧傳感器探測方法，這種方法雖然可以探測出火災(zāi)的發(fā)生，但是卻存在很高的誤報率，比如廚房煙霧、吸煙等都會引起報警。該文為了提高探測的準(zhǔn)確性和時實性，采用了多種傳感器，然后利用模糊邏輯和RBF算法對多個傳感器采集的信息進(jìn)行融合分類，最終得出是否發(fā)生火災(zāi)的決策。

關(guān)鍵詞：火災(zāi)報警系統(tǒng)；模糊邏輯；RFB算法；融合算法；傳感器

中國分類號：TP311 文獻(xiàn)標(biāo)識碼：A 文章編號：1009-3044（2014）29-6945-04

Abstract： With the rapid development of science and technology and people living standard improved， more and more electrical equipments were used in the daily life. In order to prevent electrical appliances short circuit and overheating protection system are specially designed in electrical equipment. But some of the equipments must be in working state for a long time， electrical lines aging and electrical equipment aging is inevitable， then there is existence of security risks of fire. In present， most of the fire detection systems are based in a single smoke sensor method， although this method can detect the occurrence of fire， but there is a high rate of false positives， such as the kitchen smoke and smoking can cause wrong alarm. In this paper， several sensors are used in order to improve the accuracy and real-time of detection. Then using fuzzy logic and RFB algorithm to collect information and classification of the several sensors， finally got the result of the fire occurred or not.

Key words： fire alarm system； fuzzy logic； RFB algorithm； fusion algorithm； sensor

傳統(tǒng)的單一傳感器火災(zāi)檢測系統(tǒng)已經(jīng)不能滿足現(xiàn)有的需求，研究更先進(jìn)的火災(zāi)檢測系統(tǒng)是必然趨勢，穩(wěn)定性高、可靠性高的火災(zāi)檢測系統(tǒng)對于家庭防火具有重大的意義。該文研究的目的在于，采用多傳感器的手段，綜合各傳感器采集的參數(shù)對火災(zāi)進(jìn)行更準(zhǔn)確的判斷，打破傳統(tǒng)火災(zāi)檢測系統(tǒng)的思維。這種復(fù)合探測的方法具有很高的實用價值，目前較為常用的傳感器有溫度傳感器、煙霧傳感器、CO氣體傳感器，還有多種可燃?xì)怏w傳感器，采用模糊推理系統(tǒng)和RBF神經(jīng)網(wǎng)絡(luò)系統(tǒng)融合算法得出火災(zāi)是否發(fā)生的結(jié)果。……