近红外光谱云计算分析系统构架与实现

传统的近红外光谱分析系统是单机版,建模工作难度大。为了在近红外光谱分析中实现对现有光谱模型资源共享,提出利用云计算中心的高性能服务器代替单机版的主机,然后在云服务器上开发近红外光谱软件分析系统,并详细分析了近红外光谱云分析系统的构架与设计步骤。该系统可以实现近红外光谱数据的预处理、定量分析、定性分析以及光谱模型查找和光谱模型转移等功能。最后以潲水油近红外光谱定性鉴别为例,分析比较了单机版和基于云计算的近红外光谱分析结果。在近红外光谱云分析系统中,对预测集58个样品进行判别,总体鉴别正确率为86.21%,这一结果与在单机环境下的分析结果完全一致。实验结果表明近红外光谱云分析系统具有成本低、建模方便、接入方式灵活、可实现资源共享和远程访问等优点。

Architecture and Implementation of NIR Analysis System Based on Cloud Computing

Traditional NIR systems are stand-alone and difficult to model. In order to share resource of existed NIR model, a NIR analysis system based on cloud computing is proposed. The NIR software analysis system is designed on a high performance server instead of the host of stand-alone version, and the architecture and design procedures of the NIR cloud analysis system are described in detail. The system has the functions of preprocessing of near infrared spectral data, quantitative analysis, qualitative analysis, spectral model search and spectral model transfer. The identification results of waste edible oil between NIR cloud analysis system and stand-alone version are compared. The overall rate of correct identification is 86.21% for the 50 samples of waste edible oil by the NIR cloud analysis system. This result is fully consistent with the analysis results in stand-alone. The experimental results show that the cloud NIR analysis system is low cost, easy modeling, access to flexible, enabling resource sharing and remote access, etc.