基于模糊神經(jīng)網(wǎng)絡(luò)的復(fù)合火災(zāi)探測系統(tǒng)的研究
發(fā)布時(shí)間:2018-04-11 23:32
本文選題:模糊神經(jīng)網(wǎng)絡(luò) + 火災(zāi)探測 ; 參考:《中國民用航空飛行學(xué)院》2017年碩士論文
【摘要】:火災(zāi)嚴(yán)重威脅人民的生命和財(cái)產(chǎn)安全,但傳統(tǒng)火災(zāi)探測器多采用單一傳感器,且火災(zāi)探測算法使用簡單的閾值法,在現(xiàn)實(shí)火災(zāi)環(huán)境下容易出現(xiàn)火災(zāi)誤報(bào)等現(xiàn)象。因此提高火災(zāi)探測系統(tǒng)的性能,降低火災(zāi)誤報(bào)率是當(dāng)前亟待解決的問題。本文主要研究基于模糊神經(jīng)網(wǎng)絡(luò)的復(fù)合火災(zāi)探測系統(tǒng)。以CO氣體、煙霧、溫度作為火災(zāi)特征參量,設(shè)計(jì)了復(fù)合火災(zāi)探測器并以RS-485總線構(gòu)建多點(diǎn)火災(zāi)探測系統(tǒng)。利用CO傳感器MQ-7、溫度傳感器TC1047、紅外發(fā)光管PD243B和硅光電池IR5123C設(shè)計(jì)火災(zāi)探測電路;利用MAX1348芯片構(gòu)建了RS-485總線電路;利用CATIA軟件設(shè)計(jì)探測器外殼,并用3D打印完成外殼制作。設(shè)計(jì)單片機(jī)控制程序完成下位機(jī)對三路火災(zāi)信號的采集、A/D轉(zhuǎn)換和傳輸;利用模糊系統(tǒng)和神經(jīng)網(wǎng)設(shè)計(jì)火災(zāi)探測算法;利用Labview設(shè)計(jì)上位機(jī)用戶界面,實(shí)現(xiàn)對火災(zāi)特征參量、通信自檢和實(shí)時(shí)報(bào)警的顯示、存儲、再現(xiàn)。應(yīng)用新研制的復(fù)合火災(zāi)探測器進(jìn)行功能性驗(yàn)證實(shí)驗(yàn)、火災(zāi)響應(yīng)時(shí)間實(shí)驗(yàn)、抗干擾實(shí)驗(yàn)、分布式模擬火災(zāi)探測實(shí)驗(yàn)。實(shí)驗(yàn)結(jié)果表明:新研制的復(fù)合火災(zāi)探測器能夠?qū)δ静年幦蓟、棉繩陰燃火、聚氨酯明火、乙醇明火進(jìn)行火災(zāi)探測,火災(zāi)平均響應(yīng)時(shí)間19.8s,比市售的海灣型探測器響應(yīng)時(shí)間快2.1s,滿足國家標(biāo)準(zhǔn)中規(guī)定的火災(zāi)響應(yīng)時(shí)間≤30s的要求;在800次香煙火、打火機(jī)火、暖風(fēng)機(jī)、粉塵抗干擾實(shí)驗(yàn)中誤報(bào)率為0.3%;由三路復(fù)合火災(zāi)探測器組建實(shí)驗(yàn)系統(tǒng)能進(jìn)行單點(diǎn)和多點(diǎn)火災(zāi)探測。
[Abstract]:Fire safety seriously threaten the people's life and property, but the traditional fire detectors using a single sensor, and fire detection algorithm using simple threshold method, false alarm phenomenon is easy to appear in the real fire environment. So to improve the performance of the fire detection system, reduce the false alarm rate is the current problems to be solved in this paper. Based on the fuzzy neural network composite fire detection system. With CO gas, smoke, fire temperature as characteristic parameters, design and construction of multi point composite fire detector fire detection system based on RS-485 bus. Using CO MQ-7 sensor, TC1047 temperature sensor, infrared light emitting diode PD243B and silicon photocell IR5123C fire detection circuit design; construction of RS-485 bus circuit using MAX1348 chip; using CATIA software design and 3D detector shell, shell print production. Control design of monolithic machine In order to complete MCU of three fire signal, A/D conversion and transmission; detection algorithm using fuzzy system and neural network design of fire; using Labview to design PC user interface, realize the fire characteristics parameters, communication self-test and real-time alarm display, storage and reproduction. Combined fire detector by means of a new function validation experiments, the response time of fire experiment, interference experiment, distributed simulation of fire detection experiments. The experimental results show that the newly developed composite fire detector to smoldering fire wood, cotton rope smoldering fire, polyurethane fire, fire detection of ethanol flame, fire average response time 19.8s, time response of 2.1S bay type detector than the commercially available, meet the national standards in the fire response time is less than 30s; in the 800 cigarette lighter fire, fire, air blower, dust in the experiments of anti disturbance false positive rate is 0. 3%, an experimental system constructed by a three road composite fire detector can be used for single point and multi point fire detection.
【學(xué)位授予單位】:中國民用航空飛行學(xué)院
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP183;X932
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