摘要
在分析云平台技术特点和研究现状基础上,从松材线虫病监管角度开展了需求分析,给出了相应的技术途径;研建了由云服务端(内业)和移动端(外业)两部分构成的病死松树管理系统,为病死松树的外业精准信息采集和内业规范化建库提供了整体解决方案;详细阐述了系统功能和具体的工作流程。通过对松材线虫病死松树云服务管理的探究,以期为我国松材线虫病的预测预报提供技术支撑,为下一步大数据的分析奠定科学基础。
Based on the analysis of the technical characteristics and research status of cloud platform,the demand analysis is carried out from the point of view of the supervision of pine wood nematode disease,and the corresponding technical approaches are given.This paper constructs a dead pine management system composed of two parts,the cloud service end and the mobile end,which provides the whole solution for the information collection and the standardization building database of the dead pine tree,and expounds the system function and the concrete work flow in detail.Cloud service management technique of trees attacked by Pine Wood Nematode Disease can provide technical support for the prediction of the disease in China,and also can lay a scientific foundation for the next big data analysis.
作者
武红敢
王成波
常原飞
WU Honggan;WANG Chengbo;CHANG Yuanfei(The Research Institute of Forest Resources Information Technique,CAF,Beijing 100091,China;Institute of Remote Sensing and Digital Earth,CAS,Beijing 100101,China)
出处
《林业资源管理》
北大核心
2019年第5期68-75,共8页
Forest Resources Management
基金
中国林业科学研究院中央级公益性科研院所基本科研业务费专项资金项目“基于北斗的林业野外多业务综合巡护协同技术研究”(CAFYBB2017ZC001)
关键词
松材线虫病
云平台
野外调查
数据库
大数据
pine nematode disease
cloud platform
field survey
database
big data
