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林业资源管理 ›› 2019›› Issue (5): 68-75.doi: 10.13466/j.cnki.lyzygl.2019.05.012

• 科学研究 • 上一篇    下一篇

松材线虫病死松树云服务管理的探究

武红敢1(), 王成波2, 常原飞2   

  1. 1. 中国林业科学研究院资源信息研究所,北京 100091
    2. 中国科学院遥感与数字地球研究所,北京 100101
  • 收稿日期:2019-08-19 修回日期:2019-09-24 出版日期:2019-10-28 发布日期:2020-09-18
  • 作者简介:武红敢(1963-),女,山西祁县人,研究员,主要从事遥感、地理信息系统、全球导航卫星系统技术在林业上的应用研究工作。Email: wuhg@ifrit.ac.cn
  • 基金资助:
    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)

Study on Cloud Service Management System of Trees Attacked by Pine Wood Nematode Disease

WU Honggan1(), WANG Chengbo2, CHANG Yuanfei2   

  1. 1. The Research Institute of Forest Resources Information Technique,CAF,Beijing 100091,China
    2. Institute of Remote Sensing and Digital Earth,CAS,Beijing 100101,China
  • Received:2019-08-19 Revised:2019-09-24 Online:2019-10-28 Published:2020-09-18

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。

关键词: 松材线虫病, 云平台, 野外调查, 数据库, 大数据

Abstract:

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.

Key words: pine nematode disease, cloud platform, field survey, database, big data

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