Design of detection and analysis system for aquaculture water environment factors based on bionic vehicle
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S951.2

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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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    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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History
  • Received:November 18,2019
  • Revised:February 13,2020
  • Adopted:May 20,2020
  • Online: September 30,2020
  • Published:
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