武淑霞, 雷秋良, 龙怀玉, 孙福军, 刘宏斌. 基于iOS的土壤剖面信息采集系统的设计与实现[J]. 土壤通报, 2023, 54(4): 781 − 787. DOI: 10.19336/j.cnki.trtb.2022022502
引用本文: 武淑霞, 雷秋良, 龙怀玉, 孙福军, 刘宏斌. 基于iOS的土壤剖面信息采集系统的设计与实现[J]. 土壤通报, 2023, 54(4): 781 − 787. DOI: 10.19336/j.cnki.trtb.2022022502
WU Shu-xia, LEI Qiu-liang, LONG Huai-yu, SUN Fu-jun, LIU Hong-bin. Design and Implementation of Soil Profile Information Acquisition System Based on iOS System[J]. Chinese Journal of Soil Science, 2023, 54(4): 781 − 787. DOI: 10.19336/j.cnki.trtb.2022022502
Citation: WU Shu-xia, LEI Qiu-liang, LONG Huai-yu, SUN Fu-jun, LIU Hong-bin. Design and Implementation of Soil Profile Information Acquisition System Based on iOS System[J]. Chinese Journal of Soil Science, 2023, 54(4): 781 − 787. DOI: 10.19336/j.cnki.trtb.2022022502

基于iOS的土壤剖面信息采集系统的设计与实现

Design and Implementation of Soil Profile Information Acquisition System Based on iOS System

  • 摘要:
      目的  为实现土壤剖面信息的快速采集,并保证数据的一致性与完整性。
      方法  在土壤信息采集现状分析基础上,遵照MVC设计规范,采用SQLite数据库,基于iOS操作系统设计并开发了土壤剖面信息采集系统。
      结果  土壤剖面信息采集系统设计了2个主表与83个查找表,方便用户快速录入剖面相关信息,增强交互界面友好性和数据规范化,开发了基于iOS系统的App程序,可以通过iPhone或iPad安装使用。
      结论  通过系统测试及应用,表明利用该App进行土壤剖面信息采集系统切实可行,在土壤剖面信息采集方面具有很好的数据一致性,减少后期录入与整理的人工成本,可为科研工作者野外土壤剖面采样及第三次土壤普查等工作提供技术支撑,具有较强的应用价值。

     

    Abstract:
      Objective  This study was conducted to realize the rapid collection of soil profile information in soil informatization management, and to ensure the consistency and integrality of the data collected by different people.
      Method  Based on the analysis of the current collection status of soil data, the Soil Profile Information Acquisition System (SPIAS) was designed and developed on the iOS operating system. MVC design specification was complied and SQLite was adopted in SPIAS development.
      Result  The SQLite database was used in the design, in which 2 main tables and 83 sub-tables were established to make the data being normalized and easy to use. Users can use their iPhone or iPad with the app of the SPIAS to collect soil profile information, and in the process of collecting, they only need make choices instead of inputting manually lots of information, which is much easier for the field work.
      Conclusion  After testing and extensive application, the SPIAS has good data consistency and low cost in field soil profile data collection, and can provide technical support for soil profile sampling work of scientists and the 3rd national soil survey work.

     

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