Application of fuzzy neural network in fire detecting system 模糊神經(jīng)網(wǎng)絡(luò)在火災(zāi)探測系統(tǒng)的應(yīng)用
Designing analysis on engine fire detecting system of modern civil aircraft 現(xiàn)代民用飛機的發(fā)動機火警探測系統(tǒng)設(shè)計分析
The project which the thesis based on is to do some researches on the multi - sensor data fusion technology , then to design and implement fire detecting system 本課題的研究內(nèi)容是對多傳感器數(shù)據(jù)融合技術(shù)的研究和在此基礎(chǔ)上設(shè)計并實現(xiàn)火災(zāi)探測系統(tǒng)。
The theoretic in this thesis consists of three parts : basal principle and system structure of data fusion technology ; principle and method of fire detecting and fire detecting system based on data fusion system 本論文的主要理論研究工作包括三方面的內(nèi)容,即數(shù)據(jù)融合技術(shù)的基本原理及體系結(jié)構(gòu)、火災(zāi)探測的原理與方法和基于數(shù)據(jù)融合的火災(zāi)自動探測系統(tǒng)。
In order to adapt fire detecting to different environment , at last simulates all kinds of fire and disturbing environment . simulating model can give fire probability in different environment and proves the feasibility and validity of the fire detecting system proposed in this paper 為了適應(yīng)不同環(huán)境下的火災(zāi)探測,本文最后對各種火型及極易引起誤報的干擾環(huán)境進(jìn)行了仿真,建立的仿真模型可以給出不同環(huán)境下的火災(zāi)概率,從而驗證了本文提出的火災(zāi)探測系統(tǒng)的有效性和可行性。