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基于圖像的煙塵濃度檢測(cè)研究(本科畢業(yè)論文設(shè)計(jì)).doc

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基于圖像的煙塵濃度檢測(cè)研究(本科畢業(yè)論文設(shè)計(jì)),摘要本文根據(jù)工業(yè)環(huán)境監(jiān)測(cè)的需要,設(shè)計(jì)開發(fā)了煙塵在線監(jiān)控系統(tǒng)。本系統(tǒng)是基于數(shù)字視頻技術(shù)的圖像監(jiān)控系統(tǒng),具有網(wǎng)絡(luò)瀏覽、實(shí)時(shí)圖像分析、實(shí)時(shí)煙塵濃度分析、音頻視頻信號(hào)的儲(chǔ)存、污染狀態(tài)報(bào)警、遠(yuǎn)(近)程云臺(tái)和攝像機(jī)鏡頭操作等功能。本文研究的主要方向是煙塵在線監(jiān)測(cè)系統(tǒng)關(guān)鍵技術(shù)的研究,提出用數(shù)字視頻技術(shù)在線監(jiān)測(cè)煙塵排放及分析煙塵排放濃...
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分類: 論文>機(jī)械工業(yè)論文

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摘 要

本文根據(jù)工業(yè)環(huán)境監(jiān)測(cè)的需要,設(shè)計(jì)開發(fā)了煙塵在線監(jiān)控系統(tǒng)。本系統(tǒng)是基于數(shù)字視頻技術(shù)的圖像監(jiān)控系統(tǒng),具有網(wǎng)絡(luò)瀏覽、實(shí)時(shí)圖像分析、實(shí)時(shí)煙塵濃度分析、音頻視頻信號(hào)的儲(chǔ)存、污染狀態(tài)報(bào)警、遠(yuǎn)(近)程云臺(tái)和攝像機(jī)鏡頭操作等功能。本文研究的主要方向是煙塵在線監(jiān)測(cè)系統(tǒng)關(guān)鍵技術(shù)的研究,提出用數(shù)字視頻技術(shù)在線監(jiān)測(cè)煙塵排放及分析煙塵排放濃度。系統(tǒng)具有以下特點(diǎn):1、構(gòu)建了基于局域網(wǎng)的計(jì)算機(jī)圖像監(jiān)控系統(tǒng)。使用C/S管理模式,使不同地理位置、不同級(jí)別的客戶可以觀看到特定地點(diǎn)的煙塵排放情況,改變了原來靠人工了望、電話詢問的傳統(tǒng)監(jiān)視模式;2、充分利用了數(shù)字圖像處理技術(shù)。通過對(duì)圖像的去噪處理和分析識(shí)別,由識(shí)別的結(jié)果有效迅速地對(duì)煙塵排放情況進(jìn)行分析判別。3、該系統(tǒng)有良好的軟件和硬件支撐環(huán)境。針對(duì)現(xiàn)場(chǎng)煙塵排放情況,設(shè)計(jì)了煙塵濃度分析模塊,能夠?qū)崟r(shí)獲取煙塵排放圖像,經(jīng)圖像處理分析后,判斷煙塵排放濃度,從而實(shí)現(xiàn)對(duì)當(dāng)?shù)責(zé)焿m排放總量估計(jì)。從現(xiàn)場(chǎng)試驗(yàn)情況看,該系統(tǒng)運(yùn)行穩(wěn)定,煙塵檢測(cè)結(jié)果總體上令人滿意,網(wǎng)絡(luò)瀏覽方便、迅速、實(shí)時(shí),云臺(tái)及鏡頭控制靈活;從系統(tǒng)的整體情況來看,已經(jīng)達(dá)到了預(yù)先設(shè)定的要求。本文介紹了從模擬信號(hào)監(jiān)視到數(shù)字信號(hào)網(wǎng)絡(luò)監(jiān)控的發(fā)展過程,簡(jiǎn)述了數(shù)字圖像處理技術(shù)的發(fā)展過程,討論了計(jì)算機(jī)圖像監(jiān)控系統(tǒng)的基本問題。本文著重詳細(xì)論述了數(shù)字圖像處理相關(guān)技術(shù),分析了不同的圖像去噪的方法,研究了圖像分析的各種方法。根據(jù)實(shí)際的煙塵濃度分析的結(jié)果,設(shè)計(jì)出了適合本課題的閾值分析的圖像處理具體算法?;诰钟蚓W(wǎng)的C/S模式,文章給出了監(jiān)控系統(tǒng)的軟硬件的具體實(shí)現(xiàn)。最后,給出了結(jié)論和提出了尚未解決的問題。


關(guān)鍵詞:監(jiān)控系統(tǒng),數(shù)字圖像處理,煙塵濃度分析,環(huán)境監(jiān)測(cè)





ABSTRACT

According to requirement of the metallurgy industry environment monitor,a duston-line monitor system based on Digital Video Technology is developed,which worksthrough local area net.Have network browses,image analysis,dust density analysisfunction.The main direction of this text is key technical research of dust on-linemonitor system.Put forward using on-line monitor dust exhaust and analytical dustexhaust density based on digital video technology.The system has three traits:First,Use C/S model network to replace the formersystem which worked through got-up watch and phone.Any user who get permit couldoversee different places in workroom.Second,By powerful digital image processingtechnique,the system analysis dust density when needed,so it change the case in whichlog parameter in industrial field occurs.At last,the system has excellent software andhardware supporting surroundings.The monitoring system was designed to deal with the dust exhaust.Design the dustdensity analysis module for dust exhaust.System collected dust images to analyze dustdensity.Thus carry out to exhaust the total amount estimate of to the local dust exhaust.Practically running in Works,the system is stable,credible.The client satisfiedwith system’s real-time net browsing and dust analysis.This article introduce the development status of supervision system and digitalimage processing,describe that how to construct a local area network based onClient/Server model.The focus attention in the article is digital image processingtechnique and how to make a program arithmetic by result of image analysis.The articleshow how to construct the whole software and hardware sub-system.Finally,someworthy studying questions are given.


Key words: monitor system,digital image processing,dust analysis,environmentmonitor



目 錄

摘要 Ⅰ
ABSTRACT Ⅱ
1 緒論 1
1.1煙塵濃度檢測(cè)的意義 1
1.2煙塵測(cè)量技術(shù)及其產(chǎn)品開發(fā)研制現(xiàn)狀 2
1.2.1β射線法 2
1.2.2光學(xué)不透明法 3
1.2.3光學(xué)散射法 3
1.2.4激光穿透測(cè)塵法 4
2 基于圖像的環(huán)境保護(hù)監(jiān)測(cè)系統(tǒng)方案設(shè)計(jì) 5
2.1系統(tǒng)的總體目標(biāo) 5
2.2景觀監(jiān)測(cè)網(wǎng)絡(luò)化拓?fù)浣Y(jié)構(gòu) 5
2.3系統(tǒng)硬件配置 8
2.3.1硬件配置及分布 8
2.3.2項(xiàng)目硬件功能概述 10
2.3.3系統(tǒng)軟件配置 11
2.3.4應(yīng)用軟件功能概述 12
3 煙塵圖像特征提取 14
3.1圖像的采集和傳輸 14
3.1.1返回參數(shù) 15
3.1.2調(diào)用函數(shù) 15
3.2圖像裁剪處理 16
3.2.1圖像的灰度化處理 17
3.2.2圖像的Gauss濾波處理 17
3.2.3調(diào)整圖像對(duì)比度 18
3.2.4圖像的銳化 19
3.2.5圖像二值化處理 20
3.2.6圖像邊緣提取 20
3.3煙塵圖像的特征選取 21
3.3.1接收參數(shù) 22
3.3.2返回參數(shù) 23
3.3.3調(diào)用函數(shù) 23
4 濃度識(shí)別 25
4.1 Bp神經(jīng)網(wǎng)絡(luò)簡(jiǎn)介 25
4.2模型建立 26
4.3 BP網(wǎng)絡(luò)訓(xùn)練及濃度識(shí)別 27
5 結(jié)論 29
5.1本文得出的結(jié)論 29
5.2存在的問題 29
致謝 31
參考文獻(xiàn) 32