生物多样性 ›› 2021, Vol. 29 ›› Issue (10): 1377-1385.DOI: 10.17520/biods.2021030

• 技术与方法 • 上一篇    下一篇

外来物种入侵大数据采集方法的建立与应用

邱荣洲1, 赵健2, 陈宏2, 冼晓青3, 池美香1, 翁启勇1,*()   

  1. 1.福建省农业科学院植物保护研究所/福建省作物有害生物监测与治理重点实验室, 福州 350013
    2.福建省农业科学院数字农业研究所, 福州 350003
    3.中国农业科学院植物保护研究所, 北京 100193
  • 收稿日期:2021-01-20 接受日期:2021-06-11 出版日期:2021-10-20 发布日期:2021-10-20
  • 通讯作者: 翁启勇
  • 作者简介:* E-mail: wengqy@faas.cn
  • 基金资助:
    国家重点研发项目(2016YFC202105);福建省科技重大专项(2017NZ0003-1);福建省属公益类科研院所基本科研专项(2018R1025-4)

Research and application of a big data collection method for invasive species surveys

Rongzhou Qiu1, Jian Zhao2, Hong Chen2, Xiaoqing Xian3, Meixiang Chi1, Qiyong Weng1,*()   

  1. 1 Institute of Plant Protection, Fujian Academy of Agricultural Sciences/Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Fuzhou 350013
    2 Institute of Digital Agriculture Research, Fujian Academy of Agriculture Sciences, Fuzhou 350003
    3 Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193
  • Received:2021-01-20 Accepted:2021-06-11 Online:2021-10-20 Published:2021-10-20
  • Contact: Qiyong Weng

摘要:

为准确、快速地获取入侵生物野外调查数据, 我们基于全球卫星导航系统、地理信息系统、移动互联网等现代信息技术提出了外来物种入侵大数据采集方法, 设计并研发了数据表单可自定义的野外调查工具软件——云采集。该系统以Android手机为数据采集终端, 采用C#和Java语言设计开发, 运用卫星导航定位技术实现野外调查发生位置的快速采集, 通过定义9种调查指标的数据类型及指标(列值)默认值、图像拍摄、语音录入、排序等4个辅助属性, 建立调查指标与手机客户端数据录入界面的关联, 实现用户界面可定制的数据录入模式。该系统在国家重点研发项目、福建省科技重大专项及福建省红火蚁(Solenopsis invicta)疫情普查等项目的调查任务中予以应用。实践检验表明: 该系统实现了野外调查数据的离线采集、数据同步、数据查询与输出管理, 将移动智能终端采集取代传统的纸笔记录, 简化了野外调查的流程, 提高了入侵生物野外调查的数据质量, 为外来生物入侵野外调查大数据采集提供了信息化支持。

关键词: 入侵生物, 移动终端, 数据采集, 云采集, 大数据

Abstract

Aims: To quickly and accurately obtain field survey data on invasive species diffusion, we integrated the global navigation satellite system, geographic information system, and mobile internet to design a customizable mobile terminal for the collection of survey data for invasive species. This is important because traditional methods are cumbersome, slow, and error-prone. Additionally, previously designed computational survey methods are designed to address specific survey tasks. Here, we developed a customizable software program, the Yuncaiji data acquisitor, to address these issues.
Method: This system was designed using the C# and Java languages. It uses navigation satellite positioning technology to help acquire precise location data more rapidly. This method tries to combine navigation satellite positioning with the Android mobile terminal to help acquire precise location data.
Results: This method defines 9 kinds of data and 4 auxiliary attributes, such as default value of column value (indicator), image shooting, voice input, column sorting, establishing the association between data types and user interface, and realized customizable data entry interface.
Conclusion: The Yuncaiji data acquisitor has been successfully tested in several large-scale projects, including key national (Chinese) research and development projects, major science and technology projects for the Fujian Province, and for Solenopsis invicta epidemic census. Results show that the Yuncaiji data acquisitor efficiently supports field survey data collection, data synchronization, data exporting, and data management. This system is superior to traditional survey methods involving pen and paper, because the data recoding is easily performed on a smartphone, simplifying data entry and reducing user error. The quality of the invasive species diffusion field data recorded by the Yuncaiji data acquisitor is high, indicating that our system provides suitable computational support for large-scale surveys of the diffusion of invasive species.

Key words: invasive species, mobile terminal, data collection, Yuncaiji data acquisitor, big data