浮塵含量檢測(cè)系統(tǒng)的LabVIEW數(shù)據(jù)采集分析軟件設(shè)計(jì)

測(cè)控論文編號(hào):CK093   論文字?jǐn)?shù):13877,頁(yè)數(shù):32

目 錄
摘要……………………………………………………………………………. . .……………..I
1 前言…………………………………………………………………………………………..1
2 緒論……………………………………………………………………………. . …………..2
 2.1 虛擬儀器的概述…………………………………………………………………….…. 2
 2.2 關(guān)于本課題研究的背景，意義和方法………………………………………………. .6
 3 系統(tǒng)軟件設(shè)計(jì)部分的整體方案…………………………………………. . .………. . . .9
 3.1  軟件設(shè)計(jì)總體概括……………………………………………………………………9
4 數(shù)據(jù)采集部分的設(shè)計(jì)…………………………………………………………………... .11
 4.1  數(shù)據(jù)采集的概述………………………………………………………………………11
 4.2  數(shù)據(jù)采集的目的………………………………………………………………………12
 4.3 數(shù)據(jù)采集的原理………………………………………………………………………. 12    
5 數(shù)據(jù)分析和顯示的軟件設(shè)計(jì)………………………………………………………. .. …15
   5.1  軟件設(shè)計(jì)的初步思路…………………………………………………………………15
   5.2  程序設(shè)計(jì)的具體過程…………………………………………………………………16
   5.3  初步的實(shí)驗(yàn)結(jié)果分析及不足之處……………………………………………………18
   5.4  程序設(shè)計(jì)的改進(jìn)………………………………………………………………………18
   5.5 改進(jìn)程序的具體過程…………………………………………………………………. 18
   5.6 改進(jìn)后的實(shí)驗(yàn)結(jié)果分析及不足之處…………………………………………………. 21
6 浮塵含量檢測(cè)系統(tǒng)的硬件設(shè)計(jì)…………………………………………………….. . .24
 6.1  浮塵含量檢測(cè)系統(tǒng)的光電傳設(shè)計(jì)…………………………………………………….24
   6.2  浮塵含量檢測(cè)系統(tǒng)的信號(hào)調(diào)理設(shè)計(jì)………………………………………………….25
  7 總結(jié)…………………………………………………………………………………. ……. .26
   7.1  畢業(yè)設(shè)計(jì)總結(jié)…………………………………………………………………………26
   7.2  畢業(yè)設(shè)計(jì)心得…………………………………………………………………………26
8 致謝…………………………………………………………………………………. ……. .27
9 參考文獻(xiàn)………………………………………………………………………………….. 28

摘  要
 空氣是人類賴以生存的環(huán)境因素,它直接參與人體的代謝和體溫調(diào)節(jié)等生命過程,因此大氣污染勢(shì)必危害人體健康。浮塵含量就是檢測(cè)大氣污染的一個(gè)重要指標(biāo)。大于10微米的顆粒物，幾乎都可被鼻腔和咽喉所捕獲，不易進(jìn)入肺泡。但就目前空氣中多數(shù)是對(duì)人體危害最大的10微米以下的顆粒物，它能長(zhǎng)驅(qū)直入眼、鼻、喉、皮膚等器官和組織，并經(jīng)過呼吸道沉積于肺泡。肺內(nèi)塵粒一旦超過肺本身的清除能力，就會(huì)沉積于胸腔內(nèi)，導(dǎo)致肺及胸膜的病變，引起支氣管炎、肺炎、肺氣腫等疾病。隨著人們健康意識(shí)的提高，浮塵含量也進(jìn)入了氣象預(yù)報(bào)的播報(bào)范圍。
 潔凈度級(jí)別是衡量潔凈室的標(biāo)準(zhǔn)，評(píng)價(jià)潔凈度級(jí)別的常用工具為塵埃粒子檢測(cè)儀，它可以實(shí)時(shí)監(jiān)測(cè)空氣的潔凈度。塵埃粒子檢測(cè)儀以粒子散射信號(hào)的絕對(duì)強(qiáng)度來分辨粒徑大小，故數(shù)據(jù)采集分析軟件是重要的一部分。
 LabVIEW是一款優(yōu)秀的虛擬儀器軟件開發(fā)平臺(tái)。LabVIEW以其直觀、簡(jiǎn)便的編程方式，眾多的源碼級(jí)設(shè)備驅(qū)動(dòng)程序，多種多樣的分析和表達(dá)支持功能，可為用戶快捷地構(gòu)建實(shí)際生產(chǎn)中所需要的儀器系統(tǒng)創(chuàng)造有力的基礎(chǔ)條件。其中數(shù)據(jù)采集與儀器控制是LabVIEW最具競(jìng)爭(zhēng)力的核心技術(shù)。
關(guān)鍵詞：浮塵含量、數(shù)據(jù)采集分析、LabVIEW

AbstractAir is the environmental factors of human survival, it is directly involved in human metabolism and body temperature regulation, and the life course, so air pollution is bound to harm human health. Detection of atmospheric dust content is an important indicator of pollution. Particles larger than 10 microns, almost nose and throat can be captured, not easy to enter the alveoli. However, most of the air current on the human body the most damaging particles 10 microns or less, it can run its eyes, nose, throat, skin and other organs and tissues, and through the respiratory tract deposition in the alveoli. Once the lungs of dust particles over the lung itself scavenging, it will deposit in the chest, causing pulmonary and pleural lesions, causing bronchitis, pneumonia, emphysema and other diseases. With the people's health awareness, dust content of the broadcast into a range of weather forecasting. Cleanliness level is a measure of clean room standards, cleanliness level of the common eva luation tool for the dust particle detector, it can be real-time monitoring of air cleanliness. Dust particle detector to the absolute scattering intensity of the signal to distinguish the particlesize, so data acquisition and analysis software is an important part. LabVIEW is a good virtual instrument software development platform. LabVIEW for its intuitive, simple way of programming, many source-level device drivers, a variety of analysis and expression of support functions for users to quickly build the actual production of equipment needed to create a strong foundation for the system conditions. Including data acquisition and instrument control is the most competitive core technology LabVIEW.

Keywords：dust content, data acquisition and analysis , LabVIEW