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Resolving problems in symbol identification in compilation of electronic navigational charts utilising paper charts
The Journal of Navigation ( IF 2.4 ) Pub Date : 2023-06-29 , DOI: 10.1017/s0373463323000188
P.B.A. Fernando , S.N. Lewis , A.N.D. Perera , M.D.E.K. Gunathilaka

Electronic navigational charts (ENCs) can be compiled using existing paper charts to improve their coverage of the world's oceans. However, in the process of assigning symbols on ENCs, in some cases the software uses the same symbol for different paper chart symbols. This could ultimately compromise maritime safety. Addressing this issue, this paper describes a methodology for developing a new tool that complements the efficient production of ENCs using paper charts. First, the ENC product was produced utilising CARIS S-57 Composer. After considering the difficulties in assigning symbols through the compilation process, a new web application named SYMO EXPERT was introduced. It was developed using Firebase Realtime Database and React app. A questionnaire was prepared to collect data about the time factor and accuracy of using SYMO EXPERT. Results showed that it supports the users in selecting relevant symbols efficiently with an accuracy of up to 98%.



中文翻译:

解决利用纸质海图编制电子海图时的符号识别问题

可以使用现有的纸质海图来编制电子导航图 (ENC),以扩大其对世界海洋的覆盖范围。然而,在 ENC 上分配符号的过程中,在某些情况下,软件对不同的纸质海图符号使用相同的符号。这最终可能会损害海上安全。针对这个问题,本文描述了一种开发新工具的方法,该工具可补充使用纸质海图高效生产 ENC。首先,ENC 产品是使用 CARIS S-57 Composer 生成的。在考虑到通过编译过程分配符号的困难之后,引入了一个名为 SYMO EXPERT 的新 Web 应用程序。它是使用 Firebase 实时数据库和 React 应用程序开发的。准备了一份调查问卷来收集有关使用 SYMO EXPERT 的时间因素和准确性的数据。

更新日期:2023-06-29
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