基于仿生航行器的养殖水环境要素检测分析系统设计
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S951.2

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国家重点研发计划(2018YFD0701003);上海市科技创新行动计划(16391902902);国家级大学生创新创业训练计划项目(G201910264040);上海市级大学生创新创业训练计划项目(S201910264117)


Design of detection and analysis system for aquaculture water environment factors based on bionic vehicle
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National Key R&D Program of China; Shanghai Science and technology innovation action plan;National University Students Innovation and entrepreneurship training program; Shanghai University Students Innovation and entrepreneurship training program

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    摘要:

    现阶段我国水质监测系统主要采用布设固定监测点的方法,监测点的数量受到限制,制造成本高,数据量相对较少,且监测系统数据可视化程度不高。针对此问题,设计了一种基于智能移动平台的养殖水环境检测系统,加强对养殖水环境的治理。此智能移动平台为仿生蝠鲼航行器,基于具有遍历性与不相交性的多频简谐合成运动进行动态路径规划,可搭载温度、pH等水环境要素检测传感器。利用MATLAB对检测数据进行插值处理,生成目标环境的3维切片图,智能检测水环境要素整体分布情况,根据要素种类选择查看要素数值的最大区域和最小区域。此系统可应用于普通水产养殖水环境的要素检测,为管理人员提供科学的数据支持。

    Abstract:

    At present, the methods of fixed monitoring points are adopted in water quality monitoring in China. The number of monitoring points is limited, the manufacturing cost is high, the amount of data is relatively small and the data visualization is a bit weak. An environmental detection system for culture water was designed in order to strengthen the management of aquaculture water environment and accelerate the development of intelligent fishery. A variety of water quality monitoring sensors are installed with bionic aircrafts with bionic features, taking advantage of the multi-frequency harmonic synthesis motion with traversal and non-intersecting nature to plan path dynamically and to conduct tests of various water environment elements such as temperature and pH in fish ponds. After that, the collected data will be stored in the main processor and subsequently will be transmitted to the host computer through a digital communication system. Then using MATLAB to process data interpolation, and obtain a three-dimensional slice diagram of the numerical distribution of the elements detected in the target fish pond. The overall distribution of the detection features is mastered by the slice diagram, and the highest or lowest area of the feature value is selected according to the type of feature. It has been proved that this detection system can be applied to the monitoring of water environment factors in ordinary aquaculture fish ponds, so as to provide auxiliary decision-making and data support for relevant departments.

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李瑞环,张小宇,孔祥洪,陈明.基于仿生航行器的养殖水环境要素检测分析系统设计[J].上海海洋大学学报,2020,29(5):650-660.
LI Ruihuan, ZHANG Xiaoyu, KONG Xianghong, CHEN Ming. Design of detection and analysis system for aquaculture water environment factors based on bionic vehicle[J]. Journal of Shanghai Ocean University,2020,29(5):650-660.

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  • 收稿日期:2019-11-18
  • 最后修改日期:2020-02-13
  • 录用日期:2020-05-20
  • 在线发布日期: 2020-09-30
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