移动近红外珍稀木材鉴别云服务系统的设计与实现

DESIGN AND IMPLEMENTATION OF MOBILE NEAR-INFRARED CLOUD SERVICE SYSTEM FOR RARE WOOD IDENTIFICATION

用近红外光谱技术检测珍稀木材已经趋向成熟,为了使近红外珍稀木材检测设备更加方便携带外出作业,针对时下市场占有率达81%的Android手机终端,提出一种基于Android手机的移动近红外木材鉴别云服务系统的设计方案。设计了设备到手机、到云服务器的三层架构;重点研究基于Weka的珍稀木材最优判别模型,使用Java Web技术构建部署云服务器,详细阐述Android应用程序开发中设备控制,信息呈现,服务器交互三个主要模块的实现。云端计算程序的部署很好地解决了手机计算能力弱、耗时久的问题,该系统为近红外光谱检测模型的建立、云端部署与Android应用程序的开发提供参考。

The technology of detecting rare wood by near infrared spectrum（ NIR） is more and more mature.According to the Android mobile terminals which occupies 81% of the current market,a mobile NIR timber identification cloud service system designing scheme based on Android mobile phone is proposed to make the rare wood near-infrared detection equipment more convenient on fieldwork. In the designing scheme,the three-tier architecture is designed,which is the device to the phone,the phone to the cloud server,then,the optimal discrimination model for rare wood based on Weka is focused,and the realization of three system modules is described,which are device control,information presentation and server interaction in Android application development by using Java Web technology to deploy cloud server. The deployment of cloud computing program is a good solution to the problem of weak handset computing power and time-consuming. This system is set up to provide a reference to the modeling of NIR detection,cloud deployment and Android applications development.