基于手机的光谱仪数据传输及处理

发布时间：2018-06-19 03:48

本文选题：光谱仪 + OpenWrt　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：光谱仪是对物质的成分及结构等进行分析和测量的基本设备,广泛应用于环境监测、食品品质检测、临床检验、航空航天遥感及科学教育等众多领域。传统的光谱检测基于Windows平台实现,由于其体积大及使用环境受限,无法满足现场检测和实时监控的需求。对基于移动平台光谱检测系统的研究,不仅可以改善传统光谱检测方式的不足,而且能够实现光谱检测系统向微型智能化方向的转型升级,对现代实时光谱检测技术的发展具有重大意义。针对微型便携式光谱仪智能化的需求,本文采用将智能手机作为光谱图像处理平台,通过OpenWrt系统的智能无线路由器实现将光谱仪采集的光谱图像经无线传输至手机端进行实时数据处理的方案,设计了基于手机的光谱图像处理系统。针对系统的相关性能进行分析,确保完成实时可靠的光谱图像数据的传输及处理。主要内容如下:首先,按照整体系统的设计需求对系统的基础理论进行分析,阵列式的微型光谱仪能够实时、快速的进行光谱图像的采集。OpenWrt系统可提供局域网中的WiFi信号以便光谱仪与Android手机的通信,Android平台能够服务于光谱图像的数据处理操作,为系统的设计及集成分析提供理论依据。其次,针对系统需使用的开发平台,对Android和OpenWrt系统的开发环境简要介绍,在此基础上进行开发平台Android Studio的搭建及OpenWrt系统的配置,为整体系统的设计集成提供操作环境。再次,在对系统功能及性能的需求分析的基础上,针对系统的光谱图像获取、光谱数据处理、激光出发及光谱曲线绘制四大功能模块分别进行设计,最终将所有功能通过Android手机平台进行系统集成。最后,对系统进行波长标定和测试分析,针对光谱图像处理系统进行定性和定量分析数据表明,该系统的特征谱线波长误差为0.6nm以内、光谱检测速度为8fps、光谱数据传输距离为15米以内。经验证,本文设计的光谱图像处理系统能够实现对辐射光源的物质精确光谱检测,达到微型化、便携式、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.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH744.1;TP391.41

【参考文献】