本文選題：氣味識別　切入點：氣體傳感器陣列　出處：《深圳大學》2017年碩士論文

【摘要】：氣味識別作為人工智能的研究方向之一,可用作移動機器人的嗅覺感知器,具有非常潛在的應用前景。本文實現(xiàn)了一個基于氣體傳感器陣列的氣味識別系統(tǒng),該系統(tǒng)還包括信號調(diào)理電路,信號獲取模塊,數(shù)據(jù)處理軟件。本文還闡述了可應用于氣味識別的數(shù)據(jù)的預處理,訓練過程和識別方法,并都在數(shù)據(jù)處理軟件中得到了實現(xiàn)。用戶可在智能手機上安裝該數(shù)據(jù)處理軟件,通過藍牙接收信號獲取模塊傳來的感知數(shù)據(jù),查看傳感器的電阻和電壓,觀看氣體傳感器的實時響應曲線,訓練氣味類別,識別未知的氣味的類別,記錄氣體傳感器的響應數(shù)據(jù)并能夠回放響應的過程。最后為了嘗試驗證該系統(tǒng)的識別能力及應用,我們舉了幾個例子包括日常生活中的各種常見的氣味的辨識,蘋果成熟度的區(qū)分,空氣質(zhì)量狀態(tài)的判斷以及食物新鮮度的評估。結(jié)合實驗數(shù)據(jù)進行預處理,氣味訓練,氣味識別,得到處理后的實驗結(jié)果表明該系統(tǒng)可正確識別不同的氣味類別。該系統(tǒng)還可被應用于特定環(huán)境(如智能家居和工業(yè)生產(chǎn)場所)下的污染氣體的全天候監(jiān)測。該系統(tǒng)具有低成本、便攜性、可結(jié)合智能手機進行信息處理的特點,使其更具有實用性和通用性。
[Abstract]:As one of the research directions of artificial intelligence, odor recognition can be used as the olfactory sensor of mobile robot, and has a very potential application prospect. In this paper, a scent recognition system based on gas sensor array is implemented. The system also includes signal conditioning circuit, signal acquisition module and data processing software. The user can install the data processing software on the smart phone, obtain the perceptual data from the module through Bluetooth receiving signal, and check the resistance and voltage of the sensor. Watch the real-time response curve of the gas sensor, train the smell category, identify the unknown smell category, record the response data of the gas sensor and be able to play back the response. Finally, to try to verify the recognition ability and application of the system, We gave several examples, including the identification of common odors in everyday life, the differentiation of apple maturity, the assessment of air quality status, and the assessment of food freshness. Smell recognition, The experimental results show that the system can correctly identify different odor categories. The system can also be applied to the all-weather monitoring of polluting gases in specific environments (such as smart homes and industrial production sites). Portability, combined with the characteristics of smart phone information processing, makes it more practical and universal.
【學位授予單位】：深圳大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP212.9;TP18

【參考文獻】

相關期刊論文 前4條

1 ;Air quality management in China:Issues,challenges,and options[J];Journal of Environmental Sciences;2012年01期

2 常志勇;陳東輝;門海濤;佟金;謝軍;;基于圓錐形仿生氣體室的雞肉新鮮度電子鼻檢測技術[J];吉林大學學報(工學版);2011年S2期

3 張覃軼,謝長生,陽浩,王林,張順平;電子鼻模式識別算法的比較研究[J];傳感技術學報;2005年03期

4 魏廣芬,唐禎安,余雋;基于主成分分析和BP神經(jīng)網(wǎng)絡的氣體識別方法研究[J];傳感技術學報;2001年04期

，

本文編號：1670917