船载ADCP数据处理方案研究与软件实现  

Research and software implementation of shipborne ADCP data processing scheme

作　　者：陈献 姜德良 张胜军 杨超 CHEN Xian;JIANG Deliang;ZHANG Shengjun;YANG Chao(91937 Troops,Zhoushan 316000,China)

机构地区：[1]91937部队,浙江舟山316000

出　　处：《海洋测绘》2025年第1期62-65,82,共5页Hydrographic Surveying and Charting

摘　　要：船载ADCP是当前开展走航海流观测的主要仪器。针对船载ADCP数据处理问题,以TRDI公司生产的该型设备及采集数据为样本,系统解析数据采集原理和采集过程中衍生的各型参数含义及作用,并在此基础上提出了数据处理的参数化方案,以及利用Python语言和Sqlite技术进行软件设计的思路和流程。处理结果表明,通过设置流速误差、相关性和回波强度等参数阈值进行数据过滤,并结合箱线图法和参考层法对单ping流速数据开展异常值与噪声剔除,有效完成数据质控;通过在软件中保留人机交互功能,能够进一步提升数据质控精细化水平。Shipborne ADCP is the main instrument to carry out ocean current observation.This paper deals with the problem of shipborne ADCP data processing,taking the equipment produced by TRDI company and the collected data as samples,systematically analyzes the principle of data acquisition and the meanings and functions of various parameters derived from the collection process,and puts forward the data processing scheme and software design ideas based on above and Python language with Sqlite technology.The processing results show that the data quality control can be carried out effectively by filtering the flow rate error,correlation and echo intensity parameters,and eliminating the outliers and noise of the single ping flow rate data by combining box plot method and reference layer method.By retaining the human-computer interaction function in the software,the level of refinement of data quality control can be further improved.

关 键 词：海流数据处理 声学多普勒海流剖面仪 参数方案 软件设计 人机交互 

分 类 号：P229.7[天文地球—大地测量学与测量工程]