本文選題：光譜儀 + OpenWrt�。� 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：光譜儀是對物質(zhì)的成分及結(jié)構(gòu)等進(jìn)行分析和測量的基本設(shè)備,廣泛應(yīng)用于環(huán)境監(jiān)測、食品品質(zhì)檢測、臨床檢驗(yàn)、航空航天遙感及科學(xué)教育等眾多領(lǐng)域。傳統(tǒng)的光譜檢測基于Windows平臺實(shí)現(xiàn),由于其體積大及使用環(huán)境受限,無法滿足現(xiàn)場檢測和實(shí)時監(jiān)控的需求。對基于移動平臺光譜檢測系統(tǒng)的研究,不僅可以改善傳統(tǒng)光譜檢測方式的不足,而且能夠?qū)崿F(xiàn)光譜檢測系統(tǒng)向微型智能化方向的轉(zhuǎn)型升級,對現(xiàn)代實(shí)時光譜檢測技術(shù)的發(fā)展具有重大意義。針對微型便攜式光譜儀智能化的需求,本文采用將智能手機(jī)作為光譜圖像處理平臺,通過OpenWrt系統(tǒng)的智能無線路由器實(shí)現(xiàn)將光譜儀采集的光譜圖像經(jīng)無線傳輸至手機(jī)端進(jìn)行實(shí)時數(shù)據(jù)處理的方案,設(shè)計了基于手機(jī)的光譜圖像處理系統(tǒng)。針對系統(tǒng)的相關(guān)性能進(jìn)行分析,確保完成實(shí)時可靠的光譜圖像數(shù)據(jù)的傳輸及處理。主要內(nèi)容如下:首先,按照整體系統(tǒng)的設(shè)計需求對系統(tǒng)的基礎(chǔ)理論進(jìn)行分析,陣列式的微型光譜儀能夠?qū)崟r、快速的進(jìn)行光譜圖像的采集。OpenWrt系統(tǒng)可提供局域網(wǎng)中的WiFi信號以便光譜儀與Android手機(jī)的通信,Android平臺能夠服務(wù)于光譜圖像的數(shù)據(jù)處理操作,為系統(tǒng)的設(shè)計及集成分析提供理論依據(jù)。其次,針對系統(tǒng)需使用的開發(fā)平臺,對Android和OpenWrt系統(tǒng)的開發(fā)環(huán)境簡要介紹,在此基礎(chǔ)上進(jìn)行開發(fā)平臺Android Studio的搭建及OpenWrt系統(tǒng)的配置,為整體系統(tǒng)的設(shè)計集成提供操作環(huán)境。再次,在對系統(tǒng)功能及性能的需求分析的基礎(chǔ)上,針對系統(tǒng)的光譜圖像獲取、光譜數(shù)據(jù)處理、激光出發(fā)及光譜曲線繪制四大功能模塊分別進(jìn)行設(shè)計,最終將所有功能通過Android手機(jī)平臺進(jìn)行系統(tǒng)集成。最后,對系統(tǒng)進(jìn)行波長標(biāo)定和測試分析,針對光譜圖像處理系統(tǒng)進(jìn)行定性和定量分析數(shù)據(jù)表明,該系統(tǒng)的特征譜線波長誤差為0.6nm以內(nèi)、光譜檢測速度為8fps、光譜數(shù)據(jù)傳輸距離為15米以內(nèi)。經(jīng)驗(yàn)證,本文設(shè)計的光譜圖像處理系統(tǒng)能夠?qū)崿F(xiàn)對輻射光源的物質(zhì)精確光譜檢測,達(dá)到微型化、便攜式、智能化的目的。
[Abstract]:Spectrometer is the basic equipment for analyzing and measuring the composition and structure of substances. It is widely used in many fields, such as environmental monitoring, food quality detection, clinical examination, aerospace remote sensing, science education and so on. The traditional spectral detection is based on Windows platform. Because of its large size and limited use environment, it can not meet the needs of field detection and real-time monitoring. The research of spectrum detection system based on mobile platform can not only improve the deficiency of the traditional spectral detection method, but also realize the transformation and upgrade of the spectrum detection system to the micro intelligent direction. It is of great significance for the development of modern real-time spectral detection technology. Aiming at the demand of intelligent miniature portable spectrometer, this paper uses smart phone as spectral image processing platform. Through the intelligent wireless router of OpenWrt system, the spectral image collected by the spectrometer is transmitted wirelessly to the mobile phone for real-time data processing, and a spectrum image processing system based on the mobile phone is designed. The correlation of the system can be analyzed to ensure the transmission and processing of real-time and reliable spectral image data. The main contents are as follows: firstly, the basic theory of the system is analyzed according to the design requirements of the whole system. The array miniature spectrometer can be used in real time. The fast acquisition of spectral image. OpenWrt system can provide WiFi signal in LAN so that the communication platform between spectrometer and Android mobile phone can serve the data processing operation of spectral image and provide the theoretical basis for the system design and integrated analysis. Secondly, the development environment of Android and OpenWrt system is introduced briefly in view of the development platform that the system needs to use. On the basis of this, the construction of Android Studio and the configuration of OpenWrt system are carried out, which provides the operating environment for the design and integration of the whole system. Thirdly, on the basis of the requirement analysis of the function and performance of the system, the four function modules of the system, such as spectral image acquisition, spectral data processing, laser starting and spectral curve drawing, are designed respectively. Finally, all the functions will be integrated through the Android mobile phone platform. Finally, the system is calibrated and tested. The qualitative and quantitative data of the spectral image processing system show that the wavelength error of the characteristic line of the system is within 0.6nm. The spectral detection speed is 8fpsand the transmission distance of spectral data is less than 15 meters. It is verified that the spectral image processing system designed in this paper can realize the accurate spectral detection of the radiation source, and achieve the purpose of miniaturization, portable and intelligent.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TH744.1;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王哲;王延年;;具有WIFI傳輸功能的智能變風(fēng)量溫控系統(tǒng)[J];微處理機(jī);2017年01期

2 洪勝杰;顧玉琦;壽國忠;;移動近紅外珍稀木材鑒別云服務(wù)系統(tǒng)的設(shè)計與實(shí)現(xiàn)[J];計算機(jī)應(yīng)用與軟件;2017年01期

3 周海彬;雷新卓;周望;許峰;;基于Android系統(tǒng)的微型光譜儀總體設(shè)計[J];激光與光電子學(xué)進(jìn)展;2016年06期

4 祁興普;陳通;陳斌;;基于Android微型近紅外光譜儀實(shí)時檢測云系統(tǒng)的實(shí)現(xiàn)[J];食品安全質(zhì)量檢測學(xué)報;2016年05期

5 胡思雨;;2.4GHz WiFi及藍(lán)牙對ZigBee干擾分析[J];科技視界;2016年14期

6 李冰;王彩霞;呂奮斗;崔玉鳳;;掃描式單色儀控制系統(tǒng)的設(shè)計與實(shí)現(xiàn)[J];信息通信;2016年05期

7 Zhenlong Yuan;Yongqiang Lu;Yibo Xue;;Droid Detector:Android Malware Characterization and Detection Using Deep Learning[J];Tsinghua Science and Technology;2016年01期

8 唐曙;羅武勝;魯琴;杜列波;;基于Android平臺的USB通信技術(shù)研究[J];計算機(jī)測量與控制;2015年12期

9 糜蓉;王永;熊顯名;;基于Android平臺的微型光譜儀數(shù)據(jù)傳輸與顯示研究[J];計算機(jī)測量與控制;2015年12期

10 陶文寅;;基于OpenWrt開源系統(tǒng)的無線視頻監(jiān)控智能車設(shè)計[J];單片機(jī)與嵌入式系統(tǒng)應(yīng)用;2015年10期

相關(guān)博士學(xué)位論文 前1條

1 鞠揮;用于生化分析的光譜儀微小型化的研究[D];中國科學(xué)院研究生院（長春光學(xué)精密機(jī)械與物理研究所）;2003年

相關(guān)碩士學(xué)位論文 前4條

1 陳通;Android系統(tǒng)的微型近紅外光譜儀開發(fā)及在食品質(zhì)量檢測中的應(yīng)用[D];江蘇大學(xué);2016年

2 肖河;基于Android平臺光譜數(shù)據(jù)處理分析軟件的實(shí)現(xiàn)[D];昆明理工大學(xué);2016年

3 翟建龍;基于android系統(tǒng)的臍橙品質(zhì)近紅外光譜無損檢測技術(shù)[D];華東交通大學(xué);2015年

4 史建政;便攜式手機(jī)光譜儀的研制及其軟件開發(fā)[D];廣東工業(yè)大學(xué);2015年

，

本文編號：2038285